• Journal of the Korean Home Economics Association
• /
• v.40 no.4
• /
• pp.201-210
• /
• 2002

The purpose of this study was to extend the social teaming and imitation theory in an attempt to examine the effect of star-entertainer imitation behavior on clothing behaviors in relation to adolescents' age and gender variables. The research was a survey and the subjects were 895 adolescents in Taejon, Korea. The measuring instruments was serif-administrated questionnaire consisted of star-entertainer imitation behaviors and clothing behaviors. The collected data were analyzed using factor analysis, ANOVA, Duncan's multiple range test. Results were as fellows: 1) The results of analysing the response of star-entertainer imitation behaviors showed that adolescents had very positive attitudes and high psychological need to identify self with star-entertainers, however, their actual identification behaviors were not very noticeable because of parents' restraint and school regulations on students' appearances and clothing behaviors. 2) The results of analysing the response of clothing behaviors showed four factors such as 'fashion$.$clothing interest', 'psychological dependency on clothing' , 'clothing exhibition', and 'clothing conformity'. 3) Star-entertainer imitation behaviors had significant effects on clothing behaviors; the group with more star-entertainer imitation behaviors showed more fashion$.$clothing interest, higher psychological dependency on clothing and clothing exhibition, and lower clothing conformity than the group with less star-entertainer imitation behaviors. 4) Clothing behaviors showed the differences according as adolescents' age and gender; the female adolescents showed more fashion$.$clothing interest and clothing exhibition than male, the high school and cortege age groups showed higher psychological dependency on clothing than other age groups. It is concluded that the results of this study support social teaming and imitation theory since TV media give strong influence on the TV viewers through presenting various modeling stimuli to adolescents' lives.

• Fashion & Textile Research Journal
• /
• v.8 no.1
• /
• pp.25-33
• /
• 2006

As the cultures of the world are getting diverse and plural, many trials to find their own unique culture of their own national and racial characteristics are made where fashion and traditional culture is used as good materials; in Korea, this trend is also studied by many authors. To achieve this goal, this study recognized the importance of tourism industry by inviting hosting of international event like '2005 APEC Summit Conference and Economical Ministers' Conference', and invented a uniform design that can make identification in the world market including Korea 'Gust' and 'Emotion' in developing uniforms for employees of regular traditional restaurant or hotels that contribute to tourism industry. As a material of this study from this perspective, Soo Bok pattern among many other Korean traditional patterns were chosen, and used them to design uniforms by applying diverse expressions methods through modernization task. This study tried to suggest ideas in creating new designs with a modeling sense of our people, by emphasizing on tradition motive through analysis of conditions and problem regarding the current uniforms worn in traditional restaurants. The development of uniform that modernly reinterprets traditional patterns and design that uses tradition on modern design shows endless possibility of development of our uniform, and even shows the possibility of mixture between tradition and modernity. By applying traditional beauty not only in traditional restaurants but also in many places and businesses that foreigners frequently visit can allow to spread the excellency our culture; and the Korean uniform can be successful in the international market as Korean will have pride in our tradition by wearing this new uniform.

• Nuclear Engineering and Technology
• /
• v.26 no.2
• /
• pp.168-178
• /
• 1994

Accident Management involves all measures to prevent core damage and retain the core within the reactor vessel, maintain containment integrity and minimize off-site releases. The accident management approach includes : (1) advanced evaluation of candidate strategies, (2) development of procedures to execute appropriate actions efficiently, and (3) identification and provision for materials, tools, and possible modifications to the plant system that may be needed for such execution. When assessing accident management strategies it effectiveness, adverse effect and its feasibility, including information needs and compatibility with existing procedures, must be considered. The objective of this paper is to introduce analytical tools of decision trees and influence diagrams to develop a framework for modeling and assessing severe accident management strategies. The characteristics associated with these took are presented. Based on decision trees and influence diagrams, the framework is applied to a simple example associated with a single decision.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.28 no.2
• /
• pp.129-138
• /
• 2017

This paper has been shown for the extraction of Doppler signature from the radar signal for an air-breathing targets tracked in the ground radar. For the extractions, a Doppler resolution is confirmed from mathematical modeling of PT(pulse train) waveform. Doppler signatures of air-breathing target are varied to radar aspect angle of engine and are determined from physical parameter of jet engine. To confirm such Doppler signatures, the radar signal reflected from the air-breathing target is obtained by our radar signal storage. After this extraction, radar aspect angle of engine has estimated from tracking information. Relative differences of Doppler signatures to radar aspect angle of engine is verified from these results and Doppler profiles for radar target identification appliance are presented.

• Journal of Korean Society for Atmospheric Environment
• /
• v.24 no.1
• /
• pp.30-42
• /
• 2008

In this study, the chemical compositions of $PM_{2.5}$ samples collected at the Redwood National Park IMPROVE site in California from March 1988 to May 2004 were analyzed to provide source identification and apportionment. A total of 1,640 samples were collected and 33 chemical species were analyzed by particle induced X-ray emission, proton elastic scattering analysis, photon induced X-ray fluorescence, ion chromatography, and thermal optical reflectance methods. Positive matrix factorization (PMF) was used to develop source profiles and to estimate their mass contributions. The PMF modeling identified five sources and the average mass was apportioned to motor vehicle (35.8%, $1.58\;{\mu}g/m^3$), aged sea salt (23.2%, $1.02\;{\mu}g/m^3$), fresh sea salt (21.4%, $0.94\;{\mu}g/m^3$), wood/field burning (16.1%, $0.71\;{\mu}g/m^3$), and airborne soil (3.5%, $0.15\;{\mu}g/m^3$), respectively. To analyze local source impacts from various wind directions, the CPF and NPR analyses were performed using source contribution results with the wind direction values measured at the site. These results suggested that sources of $PM_{2.5}$ are also sources of visibility degradation and then source apportionment studies derived for $PM_{2.5}$ are also used for understanding visibility problem.

• The Transactions of the Korean Institute of Electrical Engineers D
• /
• v.53 no.6
• /
• pp.415-424
• /
• 2004

In this paper, we introduce and investigate a new category of rule-based fuzzy inference system based on Information Granulation(IG). The proposed rule-based fuzzy modeling implements system structure and parameter identification in the efficient form of “If..., then...” statements, and exploits the theory of system optimization and fuzzy implication rules. The form of the fuzzy rules comes with three types of fuzzy inferences: a simplified one that involves conclusions that are fixed numeric values, a linear one where the conclusion part is viewed as a linear function of inputs, and a regression polynomial one as the extended type of the linear one. By the nature of the rule-based fuzzy systems, these fuzzy models are geared toward capturing relationships between information granules. The form of the information granules themselves becomes an important design features of the fuzzy model. Information granulation with the aid of HCM(Hard C-Means) clustering algorithm hell)s determine the initial parameters of rule-based fuzzy model such as the initial apexes of the membership functions and the initial values of polynomial function being used in the Premise and consequence Part of the fuzzy rules. And then the initial Parameters are tuned (adjusted) effectively with the aid of the improved complex method(ICM) and the standard least square method(LSM). In the sequel, the ICM and LSM lead to fine-tuning of the parameters of premise membership functions and consequent polynomial functions in the rules of fuzzy model. An aggregate objective function with a weighting factor is proposed in order to achieve a balance between performance of the fuzzy model. Numerical examples are included to evaluate the performance of the proposed model. They are also contrasted with the performance of the fuzzy models existing in the literature.

• 한국방재학회:학술대회논문집
• /
• 2008.02a
• /
• pp.249-252
• /
• 2008

The solutions are expressed in terms of a double integral transformation over wavenumber and frequency. The complete solution is considered in such a full wave theory approach. This method can handle a larger number of plane layers. Therefore, the result of FK method is very similar to real data. Using the models that were modified in velocity and Q value with depth by iterative process from a model (Kang and Park, 2006) and considered as one of the best models in Korean Peninsula, the synthetic data are simulated for explosions and earthquakes of North Korea. This study notes that the wave shape of the synthetic data is very dependent on Q value, velocities, and thickness of sedimentary layers. Comparing between the real and the synthetic, fitting well in arrival time of first arrival and wave shape causes us to arrive at an indication that the model is very close representation of upper crustal structure and simulations are well done in amplitude fitting and in identification of phases of local and regional waves.

• Archives of design research
• /
• v.17 no.3
• /
• pp.101-110
• /
• 2004

The purpose of this study is to draw a distinction between general computer graphics courses and game development ones and to find out making various improvements in game graphics courses. In addition to general hand-drawing skills and computer graphics technology which are essential for the students who major in game graphics; however, the special classes should be required for them to comprehend the work process of game development and to produce the game graphics data. This necessity of the discriminative education is going to be an identification of game development department. Although loading game data onto a game engine and finding out the solution to problems of data is one of the excellent settlement for educating game graphics students, it is not possible to purchase the commercial game engine such as Quake or Lithtech and to analyze the commercial program libraries. For this reason, this research presents the replacement of commercial game engine with VRML97 for the academic purpose and shows what effect upon education will be. It is expected that the VRML97 can be a substitute of the game engine for the effectiveness of game graphics education with more active study and verification of game fields.

• Journal of Information Processing Systems
• /
• v.16 no.3
• /
• pp.612-628
• /
• 2020

This paper presents a new approach for detecting abnormal behaviors in complex surveillance scenes where anomalies are subtle and difficult to distinguish due to the intricate correlations among multiple objects' behaviors. Specifically, a cascaded probabilistic topic model was put forward for learning the spatial context of local behavior and the temporal context of global behavior in two different stages. In the first stage of topic modeling, unlike the existing approaches using either optical flows or complete trajectories, spatio-temporal correlations between the trajectory fragments in video clips were modeled by the latent Dirichlet allocation (LDA) topic model based on Markov random fields to obtain the spatial context of local behavior in each video clip. The local behavior topic categories were then obtained by exploiting the spectral clustering algorithm. Based on the construction of a dictionary through the process of local behavior topic clustering, the second phase of the LDA topic model learns the correlations of global behaviors and temporal context. In particular, an abnormal behavior recognition method was developed based on the learned spatio-temporal context of behaviors. The specific identification method adopts a top-down strategy and consists of two stages: anomaly recognition of video clip and anomalous behavior recognition within each video clip. Evaluation was performed using the validity of spatio-temporal context learning for local behavior topics and abnormal behavior recognition. Furthermore, the performance of the proposed approach in abnormal behavior recognition improved effectively and significantly in complex surveillance scenes.

• Journal of the Korean Society for Precision Engineering
• /
• v.18 no.1
• /
• pp.98-103
• /
• 2001

Machining is the commonly used process in the manufacturing of prototypes. This process offers several advantages, such as rigidity of the machine, precision of the machine, precision of the operation and specially a quick delivery. The weight and immobility of the machine support and immobilize the part during the operation. However, despite these advantages it shows, machining still presents several limitations. The immobilization, location and support of the part are referred to as fixturing or workholding and present the biggest challenge for time efficient machining. So it is important to select and design the appropriate fixturing assembly. This assembly depends on the complexity of the part and the tool paths and may require the construction of dedicated fixtures. With traditional techniques, the range of fixturable shapes is limited and the identification of suitable fixtures in a given setup involves complex reasoning. To solve this limitation and to apply the automation, this paper presents the Reference Free Part Encapsulation(RFPE) and implementation of the encapsulation system. The feature-based modeling system and the encapsulation system are implemented. The small part of which it is difficult to find out the appropriate fixturing assembly is made by this system.