• Journal of Ship and Ocean Technology
• /
• v.5 no.2
• /
• pp.14-26
• /
• 2001

This paper presents a novel design approach that could generate structural design alternatives having different topologies and then, select the optimum structure from them with simulataneously determining its optimum design variables related to geometry and the member size subjected to the multiple objective design environments. For this purpose, a specialized genetic algorithm, called StrGA_DeAl + MOGA, which can handle the design alternatives and multi-criteria problems very effectively, is developed for the optimal structural design. To validate the developed method, method, plain truss design problems are considered as illustrative example. To begin with, some possible topological of the truss structure are suggested based on the stability criterion that should be satisfied under the given loading condition. Then, with the consideration of the given multi-criteria, several different topology forms are selected as design alternatives for the second step of the conceptual design process. Based on the chosen topolgy of truss structures, the sizing or shaping optimization process starts to determine the optimum design parameters. Ten-bar truss problems are given in the paper to confirm the above concept and methodology.

• Journal of the Korean Society of Safety
• /
• v.32 no.6
• /
• pp.68-74
• /
• 2017

To predict the damage of Reinforced Concrete (RC) structures from mass explosion, Pressure-Impulse (P-I) curves representing the relationship between peak pressure and impulse based on damage criteria are essential. There are P-I curves developed by the U.S. DoD without detailed explanation regarding validation. In this study, full scale explosion tests were conducted measuring response of RC slab to modify and validate pre-existing P-I curves. Four same RC slabs were prepared, and placed at different distances, which are fixed to steel frame with concrete base. Scaled distances were selected to show different failure types using P-I curve based on Single Degree Of Freedom (SDOF) model. It was found that SDOF model can be used to evaluate and identify one-way RC slab damage with difference damage criteria.

• Journal of the Korean Society of Systems Engineering
• /
• v.9 no.1
• /
• pp.55-63
• /
• 2013

Nuclear power plant site selection is a complex process and its successful completion is a critical milestone in the NPP development cycle. Proper siting of NPP will ensure public health and safety, environmental conservation, reduced project failure risks and a smooth NPP development process among other benefits. The objective of this paper is to demonstrate the application of systems engineering to the problem of NPP siting in Kenya. The siting process demonstrated in this paper includes stakeholder need analysis where stakeholders are identified and their needs concerning NPP site are elicited and converted into system functional requirements. A value model is then developed and potential sites iteratively subjected to three types of criteria i.e. exclusionary criteria, avoidance criteria and suitability criteria. This process is used to identify the candidate sites. An additive value model; multiple objectives Decision Analysis (MODA) is then used to calculate candidate solutions values. The site with the highest solution value score is selected. Sensitivity studies using different criterion weight sets (thereby reflecting different viewpoints) can be conducted to assess their effect on the selection of a preferred site and thereby lend additional credibility to the decision process.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.22 no.7
• /
• pp.920-930
• /
• 1998

The purpose of this study are to investigate the consumer characteristics of fashion specialty store and compare them among different fashion specialty store types. Based on the results, patronage profiles for multi brand shop, maker total shop, mart brand shop, and oulet multi shop are develop, Marketing implications are discussed. Before empirical study, theoretical study was done through reviewing the existing litera-tures and a questionnaire was developed. Data(N=410) were collected via a questionnaire distributed to 469 female consumers who shopped at fashion specialty store in Pusan. The results were as follows ; 1) Factor analysis revealed seven factors of shopping orientations(Brand Conscious, Planning Purchase, Self-confidence in clothing shopping, Economy, Common Style in fashion, Individuality Seeking, and Passive Purchase), and seven factors of store evaluative criteria(Store Atmosphere, Assortment, Quality, Promotion, Price/Information, Sales Personnel, and Convenience). 2)By crosstabulation analysis with $\chi$2-test and multivariate analysis variance with sheff-test, consumer characteristics such as shopping orientations, store evaluative criteria, purchase behavior variables, and demo-graphic variables were significantly different among fashion specialty store types.

• Fashion & Textile Research Journal
• /
• v.12 no.5
• /
• pp.683-693
• /
• 2010

The aim of the present study is to investigate the complex shopping behavior of clothing consumer groups classified by the level of economic shopping orientation. Using a self-administered questionnaire, 260 respondents rated their economic shopping orientation, hedonic shopping orientation, convenient shopping orientation, store selection criteria, clothing interest, gender, age, and other demographic characteristics. A total of 248 questionnaires were analyzed. The results are as follows. First, economic consumers showed more hedonic and convenient shopping orientation than uneconomic consumers. In addition, economic consumers valued various store selection criteria. These implied that economic consumers show more complex clothing shopping behavior than uneconomic consumers. Second, as the result of comparing complex shopping behavior of economic consumers and uneconomic consumers by their characteristics such as clothing interest, gender, and age, economic consumers were found to show more complex shopping behavior than uneconomic consumers regardless of the consumer characteristics. Among them, economic consumers with higher clothing interest or in adult age particularly showed more complex shopping behavior. Furthermore, economic consumers with different consumer characteristics showed quite different aspects in their complex shopping behavior. Third, uneconomic consumers showed relatively simple, impulsive, and price-apathetic shopping behavior.

• The Transactions of the Korea Information Processing Society
• /
• v.2 no.5
• /
• pp.768-776
• /
• 1995

In a distributed computer system with star topology, the processing power of central node may be greater than that of peripheral nodes and the job arrival rate of each node may be different. The performance of load balancing may be very different according to the selection of sender criteria and receiver criteria for job transfer. But the optimal decision of sender and receiver criteria is very difficult in heterogeneous distributed computer systems. In this paper we propose effective destination decision policies using dynamic criteria such as mean job response time of a node and estimated response time of a job, instead of fixed threshold for dynamic load balancing.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.21 no.2
• /
• pp.1-13
• /
• 2019

The objectives of this study are (1) to classify fashion consumers based on innovativeness and nostalgia and (2) to explore the differences in product purchase criteria, fashion information sources, and attitudes toward eco-friendly and fast fashion products among the identified groups of consumers. A total of 327 respondents were clustered into four distinct groups: (1) high innovativeness and low nostalgia, (2) high innovativeness and high nostalgia, (3) low innovativeness and high nostalgia, and (4) low innovativeness and low nostalgia. The four groups showed significant differences in the purchase criteria of quality, design, and brands and no difference in the criteria of functionality and washing methods. The four groups preferred different sources of fashion information: fashion magazines, people in the street, and salespeople, but did not differ in terms of social networking services (SNS) and in-store displays. While the four groups had significantly different attitudes toward eco-friendly fashion products, they did not show differences in attitudes toward fast fashion products, excluding usefulness. These meaningful results provide guidelines for developing more effective merchandising strategies for both eco-friendly and fast fashion products.

• Language and Information
• /
• v.9 no.1
• /
• pp.1-18
• /
• 2005

In Korean terminologies, adjectival terms are rare, and the meaning and function associated with adjectives in Indo-European languages are often realized instead in noun form. However, the rarer adjectival terms we, the more they are used in restrictive and repetitive ways in specialized domains. Thus, it is important to distinguish the different senses of these terms. In this work, focusing on semantic modeling in terminology, we distinguish the different senses of adjectival medical terms by applying lexico-semantic criteria (L'Homme, 2004a) and by classifying the semantic category of the arguments of the adjective (Bae and others, 2002). The result not only contributes to enriching medical terminology, but also empirically demonstrates a method for distinguishing the different senses of adjectival medical terms. In this work, we obtained an average of 1.854 senses for each term. We used the KAIST corpus, composed of medical texts (1,500,000 eojeols), and a group of texts on various subjects (40,000,000 eojeols)

• Earthquakes and Structures
• /
• v.23 no.1
• /
• pp.87-100
• /
• 2022

Limiting the displacement of seismic isolators causes a pounding phenomenon under severe earthquakes. Therefore, the ASCE 7-16 has provided minimum criteria for the design of the isolated building. In this research the seismic response of isolated buildings by Triple Friction Pendulum Isolator (TFPI) under the impact, expected, and unexpected mass eccentricity was evaluated. Also, the effect of different design parameters on the seismic behavior of structural and nonstructural elements was found. For this, a special steel moment frame structure with a surrounding moat wall was designed according to the criteria, by considering different response modification coefficients (RI), and 20% mass eccentricity in one direction. Then, different values of these parameters and the damping of the base isolation were evaluated. The results show that the structural elements have acceptable behavior after impact, but the nonstructural components are placed in a moderate damage range after impact and the used improved methods could not ameliorate the level of damage. The reduction in the RI and the enhancement of the isolator's damping are beneficial up to a certain point for improving the seismic response after impact. The moat wall reduces torque and maximum absolute acceleration (MAA) due to unexpected enhancement of mass eccentricity. However, drifts of some stories increase. Also, the difference between the response of story drift by expected and unexpected mass eccentricity is less. This indicates that the minimum requirement displacement according to ASCE 7-16 criteria lead to acceptable results under the unexpected enhancement of mass eccentricity.

• Journal of the Korean Society of Costume
• /
• v.53 no.5
• /
• pp.155-169
• /
• 2003

The purpose of this study was to find out criteria for classifying fashion brand from the viewpoint of fashion business practice in order to develop strategy of fashion brands and to manage brand effectively and systematically, and to suggest theoretical frame for application of these criteria. Survey was implemented for this research. 388 Data from the people who works for merchandising, sales or design in fashion business company was analyzed. Questionnaires were developed based on 37 fashion brand classification criteria. SPSS package and LISREL program were used to analyze data. Factor analysis, one-way ANOVA, $$\mu$tiple response analysis, correlation analysis, and structure equation model analysis were applied. The results of this study were as follows First, factor analysis considering 37 classification criteria identified 7 factors as classification criteria which can be used effectively by fashion business company. Second, in two cases, based on the job description and the responsible items, analysis showed that importance of the 7 classification criteria factors was different. And all of 7 criteria were correlated to each other. Third, the effective method to classify fashion brands was proposed by establishing the model of the relationship among the values of 7 criteria and by proving it by the structure equation model analysis. And the two types of the courses to classify fashion brand were shown. Forth, according to the evaluation of these criteria in the importance of appropriateness and difficulty of implementing, classification criteria factor of "the level of product concept" was found to be very effective and "the level of brand value" was ineffective to apply.