• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.05a
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• pp.569-574
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• 2002

As consumer's desire becomes various, agility of mold manufacturing is most important factor for competence of manufacturer. In common works to use commercial CAM system to generate tool path, some decision making process is required to produce optimal result of CAM systems, The paper proposes a methodology for computer-assisted tool selection procedures for various cutting type, such as rough, semi-rough and finish cuts. The system provides assist-tool-items for machining of design model part of injection meld die by analyzing sliced CAD model of die cavity and core. Also, the generating NC-code of the tool size is used to calculate machining time. The system is developed with commercial CAM using API. This module will be used for optimization of tool selection and planning process.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.8 no.1
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• pp.18-23
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• 2009

The conventional channel selection method for a ZigBee communication network basically detects the energy values in all channels. In the ISM band, no license is required to use channels in this band, so there may exist various interference factors in this band. It is well known that WLAN is the major interference factor degrading the performance of ZigBee in the ISM band. In this paper, we propose an efficient channel selection algorithm which uses the pattern of two types of WLAN channel uses as the a priori information of IEEE 802.11 band IEEE 802.11g. By using the proposed algorithm, we may save the time required to select channels for the ZigBee communications.

• The Journal of Information Systems
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• v.13 no.2
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• pp.49-64
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• 2004

Recently, SCM(Supply Chain Management) embraces the dynamic environmental changes of the participatory bodies in supply chain. Under this dynamic SCM environment, the selection of supplier and outsourcing company is very important. In their selection, the productivity and expertise of suppliers and outsourcing companies are, of course, to be considered as important factors, but whether or nottheycanmeettheduedateisacritical factor. In particular, this is true because an order-based manufacture ought to have CTP(Capable To Promise). For this purpose, by capitalizing onthevirtualmanufactureundertheSCM, this paper has tried to suggest a new agent system for the selection of supplier and outsourcing company. While performing virtual manufacture based on the integration scheduling, this system acquires the production environment and scheduling information of both suppliers and outsourcing companies on a real-timebasis,thusmakingintegrationschedulingpossible. Also, in order to provetheviabilityofthisstudy,thispaper has selected a specific domain and applied it.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.10a
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• pp.175-179
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• 1997

As consumer's desire becomes various, agility of mold manufacturing is most important factor for competence of manufacturer. In common works to use commercial CAM system to generate tool path, some decision making process is required to produce optimal result of CAM systems. We propose tool selection procedures to aid the decision making process. The system provides available tool size for machining of design model part of injection mold die by analyzing sliced CAD model of die cavity and core. Also, the tool size information is used to calculate machining time. The system is developed with commercial CAM using API. This module will be used for optimization of tool selection and planning process.

• Communications for Statistical Applications and Methods
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• v.20 no.4
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• pp.259-270
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• 2013

This paper considers a penalized composite quantile regression (CQR) that performs a variable selection in the linear model with grouped variables. An adaptive sup-norm penalized CQR (ASCQR) is proposed to select variables in a grouped manner; in addition, the consistency and oracle property of the resulting estimator are also derived under some regularity conditions. To improve the efficiency of estimation and variable selection, this paper suggests the two-stage penalized CQR (TSCQR), which uses the ASCQR to select relevant groups in the first stage and the adaptive lasso penalized CQR to select important variables in the second stage. Simulation studies are conducted to illustrate the finite sample performance of the proposed methods.

• International Commerce and Information Review
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• v.12 no.4
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• pp.279-302
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• 2010

A better selection model on management innovative enterprises is needed since the Korean government provides multi benefits to those selected enterprises. However, the selection model's propriety is suspicious because of the shortage of consideration of assessment items. In particular, the most important two assessment items, strategy and performance are suspected of multicollinearity because of high correlation scores. No consideration on multicollinearity among those items leads to erroneous selection which doubly counts the same components with different item names. The principle component analysis is applied to factor out the uncorrelated items. Using the resulted principle components, the new estimations are carried out. The comparison between estimated results from using principle components and non principle components shows that the present selection model overly considers the performance items compared to the real effect of items, which is a result of multicollinearity between performance and strategy.

• Journal of the Korean Society of Food Culture
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• v.29 no.6
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• pp.549-556
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• 2014

This study aimed to determine consumer satisfaction according to selection attributes of specialized coffee shops and also understand the effects of consumer satisfaction on recommendation intention and revisit intention. Through positive analysis, the study produced the following results. In the factor analysis of selection attributes of specialized coffee shops, there were six factors: 'quality', 'brand image', 'economic feasibility', 'menu diversity', 'the atmosphere and convenience of the shop', and 'service'. Among these factors, 'brand image', 'economic feasibility', and 'menu diversity' were found to exert a significant influence on consumer satisfaction. Second, consumer satisfaction had a significant influence on recommendation intention and revisit intention. Third, consumer intention to revisit specialized coffee shops showed a significant influence on recommendation intention.

• Journal of the Korean Home Economics Association
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• v.44 no.8
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• pp.89-99
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• 2006

The purpose of this study was to examine parents' selection factors and satisfaction degree in selecting an early childhood education institute according to various types of early childhood education institutes. The subjects were 650 parents of early childhood education institutes from Andong city. The result of the study can be summarized as follows. The parents' consideration degrees in the selection factors were different according to the types of early childhood education institutes. The parents' satisfaction degree on the early childhood education institutes was also different according to the types of early childhood education institutes. This result might be helpful in determining future directions for the improvement of the qualitative growth of early childhood education reflecting the demands and characteristics of parents.

• Journal of Navigation and Port Research
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• v.33 no.2
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• pp.135-141
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• 2009

The circumstances surrounding world ports have changed rapidly and port competition to attract cargoes has been increasing fiercely. Specifically, deploying large container vessels resulted fewer port visits and strategic alliance among liner shipping companies. Recently, many studies have worked for improving port competitiveness. However, these studies were limited to evaluation of only port competitiveness and few studies suggested strategies for reinforcing port competitiveness. Although implications of these previous studies are practically available to build policies for port, there have been very few academic studies such as identifying port competitiveness and port selection with related attributes for reasonable evaluation and analysis. Therefore, this study aims to classify the existing studies, which dealt with port selection problem, based on basic structure that was suggested by Murphy (1992). Furthermore, the conceptual definition will be carried out by comparison analysis in terms of time of study, type of data and methodology and decision factor of each study.

• Journal of Agricultural Extension & Community Development
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• v.18 no.3
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• pp.531-550
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• 2011

This study aims to examine the Visitor's selection attributes and types of preference regarding Rural Theme Village, and gather useful information for establishing differentiated marketing strategies suitable for market segments by the Visitor's selection attributes. In addition, it will contribute to securing competitiveness in providing Visitors with better service by extracting differentiating factors of Rural Theme Villages, and exploring the right direction of Rural Tourism. For the empirical analysis, the attributes were extracted based on the preliminary studies, and a survey was conducted among Visitors and users of Rural Theme Village to examine such factors as importance of selection attributes status, motives of using such Rural Theme Villages, demographic characteristics, and general features of the Rural Theme Villages.