• Journal of the Society of Naval Architects of Korea
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• v.36 no.1
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• pp.82-89
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• 1999

A designer must make a lot of decisions in a design process. The decisions may be classified into selection decisions and compromise decisions. As the results of two decisions depends on the designer's intention it is necessary that the designer's intention should be reflected in the design systematically and precisely. As the AHP(Analytic Hierarchy Process) technique analyzes and evaluates a obscure selection problem hierarchically, designer's intention can be reflected in the design systematically. Also as qualitative attributes can be rated at quantitative criterion the designer's intention can be reflected consistently. Usually an engineering problem is a coupled problem in which a designer must select one alternative from a set of alternatives and find optimal characteristics of the alternative concurrently. As considered attributes are functions of the compromise system variables and the attributes's units and orders are different each other, attribute ratings must be normalized. This paper introduces a neural network at this normalization. So the attribute ratings can reflect designer's intention and the knowledge from his(her) experience automatically.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.53-61
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• 2018

In this study, we investigated whether the model attributes of CSR ads (value addition, attractiveness, expertise, trustworthiness) affect the attitude of the company. We also examined the mediating role of message authenticity in the model attributes and corporate attitudes of CSR advertisements. The results of the study are as follows. First, the value addition, attractiveness, and reliability of the CSR advertising model have a positive effect on the message authenticity of the CSR advertisement. Second, the attractiveness and expertise of the CSR advertising model have a positive effect on the attitude of the company. Third, the effects of the CSR advertising model on the value addition, attractiveness, and reliability are completely mediated by the message authenticity of the CSR advertisement. The results of this study suggest that it is effective to select the models with value addition, attractiveness, and expert image when producing CSR advertisements.

• Journal of Computing Science and Engineering
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• v.1 no.2
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• pp.177-194
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• 2007

Index selection is one of the most important decisions to take in the physical design of relational data warehouses. Indices reduce significantly the cost of processing complex OLAP queries, but require storage cost and induce maintenance overhead. Two main types of indices are available: mono-attribute indices (e.g., B-tree, bitmap, hash, etc.) and multi-attribute indices (join indices, bitmap join indices). To optimize star join queries characterized by joins between a large fact table and multiple dimension tables and selections on dimension tables, bitmap join indices are well adapted. They require less storage cost due to their binary representation. However, selecting these indices is a difficult task due to the exponential number of candidate attributes to be indexed. Most of approaches for index selection follow two main steps: (1) pruning the search space (i.e., reducing the number of candidate attributes) and (2) selecting indices using the pruned search space. In this paper, we first propose a data mining driven approach to prune the search space of bitmap join index selection problem. As opposed to an existing our technique that only uses frequency of attributes in queries as a pruning metric, our technique uses not only frequencies, but also other parameters such as the size of dimension tables involved in the indexing process, size of each dimension tuple, and page size on disk. We then define a greedy algorithm to select bitmap join indices that minimize processing cost and verify storage constraint. Finally, in order to evaluate the efficiency of our approach, we compare it with some existing techniques.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.201-207
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• 2022

In this paper, we propose a movie recommendation model that uses the users' ratings as well as their reviews. To understand the user's preference from multicriteria perspectives, the proposed model is designed to apply attribute-based sentiment analysis to the reviews. For doing this, it divides the reviews left by customers into multicriteria components according to its implicit attributes, and applies BERT-based sentiment analysis to each of them. After that, our model selectively combines the attributes that each user considers important to CF to generate recommendation results. To validate usefulness of the proposed model, we applied it to the real-world movie recommendation case. Experimental results showed that the accuracy of the proposed model was improved compared to the traditional CF. This study has academic and practical significance since it presents a new approach to select and use models in consideration of individual characteristics, and to derive various attributes from a review instead of evaluating each of them.

• The Korean Journal of Franchise Management
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• v.7 no.2
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• pp.27-35
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• 2016

Purpose - The primary objective of this study is to investigate the impact of employee characteristics on employees' preference towards corporate pension products. This study can provide a guidance for maximization of benefits for employees and their affiliated corporation. Employee characteristics include average length of labour, wage system of annual salary, age, types of interest rates and size of corporation. Existing research generally concentrate on vitalizations of corporate pension product raising an imperfection, improvements, tax benefit analysis and legal consideration. Thus, this study intensively analyses the effect of employee attributes on firms' decision for corporate pension products, such as DB(defined benefit) and DC(defined contribution) type. Research design, data, and methodology - The data were collected using self-administrated questionnaire survey on corporate pension products from CEOs or HR directors 250 foreign-invested companies', purchasing pension plans in practice with domestic financial trustees (insurance companies, banks and security companies). Hypotheses testing was conducted using Logistic Regression analysis with SPSS/PC+ 21.0. Results - The findings of the study are as follows. Employees with the long length of labour are more likely to have DB plan; more likely to prefer DC plan with the dividend distribution product regarding the types of interest rate. SMEs(less than 100 employees) are more likely to select DC plan whereas high fluctuation in wage with annual salary has no impacts. In addition, the ages has no significant effect on the preference. Conclusions - This study has examined with the empirical testing that employees' variable attributes and qualities are one of the vital factors for corporation pension plan selection. Currently, majority employees are highly likely to join DB plan and Defined interest types. Corporation with less than 10 employees prefer IRP scheme while most of corporation are intended to join DC plan. In a very near future, corporation more than 300 employees will be required to purchase mandatory plan under national regulation. For maximization of employees' contentment to corporation pension insurance and for complementing the flaws of existing plans, the future studies shall also research in a perspective of employee benefit.

• Journal of the Korean Society of Food Culture
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• v.23 no.3
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• pp.348-355
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• 2008

For globalization of Korean food, It is essential to research and analyze target markets in advance. However until recently, there has been a lack of food research in regions of select countries in order to create systematic plans for marketing Korean foods. Therefore this study aimed to investigate the recognition of Korean foods as compared to other Asian foods in young adults living in Vaxjo, Sweden. Over 90 percent of the Swedish students had experienced Thai and Chinese cuisines, indicating their popularity as Asian foods in Sweden. The participants were attracted to six positive attributes of Asian food: 'fresh vegetables', 'low fat', 'chicken and sea food', 'exotic ingredients', 'good value for the money' and 'unknown foods'. The favorite type of Asian food was Thai food and Korean food was the least tried, as over 50% of respondents linked it to 'unknown food' attributes. Based on these results, in order to introduce Korean food more successfully, focus should be placed on the unique and unknown attributes of Korean food, as well as emphasis placed on its healthfulness, to stimulate the curiosity of target markets such as young Swedish adults.

• Journal of the Korean Society of Food Culture
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• v.21 no.1
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• pp.57-64
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• 2006

The purpose of this study was to measure the pizza purchasing behavioral characteristics of respondents and importances of factors affecting pizza purchase, to estimate the effects of attributes on pizza restaurant choice, and to predict probability of selecting a particular pizza restaurant. The questionnaire consisted of two parts: The paired experimental profiles, purchasing behavior and importances of factors affecting pizza purchase. This study generated profiles of 16 hypothetical pizza restaurant based on the seven attributes. The profiles comprised 16 discrete sets of variables, each of which had two levels. For this study, researcher randomly selected 150 students of university as respondents. Twenty students did not complete the survey instrument, resulting in a final sample size of 129. All estimations were carried out using frequencies, $X^2$, independent samples t-test, phreg procedure of SAS package. The results are as follows. Some purchasing behavioral characteristics and importances of factors affecting pizza purchase were significantly different by gender. Based on the estimated models developed for male student group and female student group, the Chi-square statistics were significant at p<0.001. The parameter estimate for late delivery time with male student group was highest, and the parameter estimate for price with female student group was highest. The pizza restaurant that charged \20,000, offered 100% discount on eleventh pizza, promised to deliver pizza in 40 mins, usually delivered the pizza as promised time, offered only 1 type of pizza crust, delivered warm pizza, offered the money-back guarantee was favored by each of male student group and female student group. The results from this study suggested that there was an opportunity to increase market share and profit by improving operations so that customers receive discount and money-back guarantee simultaneously, and by reducing price, delivery time.

• Korean Journal of Computational Design and Engineering
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• v.16 no.1
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• pp.21-30
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• 2011

Similarity assessment of a CAD model is one of important issues from the aspect of model re-using. In real practice, many new mechanical parts are designed by modifying existing ones. The reuse of part enables to save design time and efforts for the designers. Design time would be further reduced if there were an efficient way to search for existing similar designs. This paper proposes an efficient algorithm of similarity assessment for mechanical part model with design history embedded within the CAD model. Since it is possible to retrieve the design history and detailed-feature information using CAD API, we can obtain an accurate and reliable assessment result. For our purpose, our assessment algorithm can be divided by two: (1) we select suitable parts by comparing MSG (Model Signature Graph) extracted from a base feature of the required model; (2) detailed-features' similarities are assessed with their own attributes and reference structures. In addition, we also propose a indexing method for managing a model database in the last part of this article.

• Journal of Korean Society for Quality Management
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• v.29 no.2
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• pp.120-130
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• 2001

In this paper, the QFD(quality function deployment) technique is used to acquire the quality requirements of package software which is sold in commercial software shop. To select the principal quality characteristics of package software, an user survey was conducted for a quality model developed based on the international standards and the previous research. The software user is divided into three groups: the general user, the expert, and the developer. Based on the survey results, the top 10 quality characteristics are selected including accuracy, suitability, installability, de-installability, and maturaty. Then, the QFD technique is applied to choose the software quality attributes which have strong correlation with the selected quality characteristics, some of which are traceability, accuracy, modularity, completeness, and self-descriptiveness. The developed procedure can be used in evaluating the quality of package software with lower costs and efforts.

• International Journal of Industrial Entomology and Biomaterials
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• v.6 no.2
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• pp.107-113
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• 2003

Analysis of combining ability is a widely used biometrical tool to select promising parents and hybrids, to determine the kinds and relative magnitudes of genetic variability among hybrids as well as to forecast yield attributes in early breeding generations both in plants and animals. Various statistical approaches like Jinks and Hayman (1953), Griffing (1956), Kempthorne (1957) etc. have been extensively applied in plants. These approaches have also been tried in the mulberry silkworm, Bombyx mori L. In the present review, an attempt has been made to collect most of the studies carried out on combining ability in silkworm at one place and make it available to the scientists engaged in sericultural research.