• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.227-230
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• 2014

LTE 3GPP standard defines several QCI (QoS Class Identifier) classes to provide differential QoS, depending on the requirements of different user applications.These QCI values have been characterized in terms of priority, packet loss and delay budget. In spite of the availability of this robust QoS framework in LTE, there is no such scheduling algorithm that has its working principle based on this framework. The responsibility of fulfilling the user requirements, while satisfying the service class requirements is left upon the cellular service provider and it is an open issue at present. To solve this problem, we have proposed a MAC scheduler, which defines the priority of different users based on their bearer specification and provides desired QoS in terms of the achieved throughput through the resource block allocation based on calculated user priority.

• Archives of design research
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• v.17 no.3
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• pp.111-122
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• 2004

The purpose of this study are two the first is to identify the positioning of product design and analyze its functional relationship with product development, manufacturing, marketing and sales in the comprehensive competitiveness evaluation model ; and the second is to estimate the determinants of QCI(quality competitiveness index), analyze the impact of product design on QCI, and compare the aforementioned results for the seven industrial sectors and the five product patterns. For this empirical analysis, this study surveyed 400 Korean manufacturing firms during August-October 2003. The major empirical findings are summarized as follows : First, the hypothesis on the positive effect of product design on QCI is accepted at a highly significant level (p < 0.001) for all : the manufacturing sector, seven industrial sectors, and five product categories. Second, the correlation analysis and factor analysis lead to the result that the effect of product design on QCI is estimated to be relatively very low, in comparison to those of product functionality and basic performance on QCI. These findings imply that Korean manufacturing sector has been still in the prematured stage at which product design has not played an important role yet. This study concludes that product design in line with other functions (product development, manufacturing, marketing, and sales) should make a good contribution to the improvement of QCI in the future.

• Journal of Korean Electronics
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• v.4 no.7
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• pp.73-83
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• 1984

• Proceedings of the Korean Society for Quality Management Conference
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• 2007.04a
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• pp.514-517
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• 2007

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.2
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• pp.105-112
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• 2010

For efficient and effective university-industry linked training programs, it is critical to design customized educational systems including various curriculums for specific needs from industries. To do that, we need to understand that the quality of collaboration between large companies and their vendors. Therefore, in this study, we provided SCQM(Supply Chain Quality Management) and QCI-SCM(Quality Collaboration Index for Supply Chain Management) to evaluate the quality levels of collaboration between large sized companies and their sub-vendors. And we tried to find the critical factors for successful SCQM and global quality management competitiveness.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.7
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• pp.143-152
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• 2015

The 'Quality Competitiveness Index' (QCI) is defined as an quantitative and disinterested indicator that measures and compares the quality of products across the world. The purpose of this study is to suggest the 'Quality Competitiveness Assessment Model' (QCAM) and calculate QCI of a popular UHF RFID Label tag (Global ISO 18000-3C supported) available these days in a global apparel market. The model was based on KS-QEI(Korean Standard-Quality Excellence Index), and was composed with the following 4 evaluation categories, a process capability test, an environmental reliability test, a durability test and a design margin test. The QCI score can be calculated with the following formula, using the weighted arithmetic mean between a score of each evaluation category ($X_1$, $X_2$, $X_3$, $X_4$) and each weight($w_1$, $w_2$, $w_3$, $w_4$). The actual weights was determined by an result of AHP survey to which was conducted for the related Industry-University-Institute experts. The proposed index shows the results of comparisons with global competitor's products as well as the high-quality domestic RFID label tags. In addition, it will play an important role for manufacturers when developing their future products.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.48 no.11
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• pp.60-66
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• 2011

LTE (Long Term Evolution) supports QoS (Quality of Service) with several service classes. For each class of traffic, a big difference exists on BER (Bit Error Rate) requirement. This leads to a considerable difference in transmission power for various classes of traffic. In this paper, a novel scheduler is designed and proposed for LTE which supports CoS (Class of Service) with the consideration of priority as well as target BER. By the CQI (Channel Quality Indicator) and QCI (QoS Class Identifier), a minimum transmission power is assigned from the target BER for each class of traffic per each user. Hence, with the other information such as user's used rate in the past and the priority of traffic, the probability of occupying channels is determined. The simulation results of Service Class scheduling are compared with that of Maximum Rate and Proportional Fair. The results show that the service class-aided scheduling can improve the throughput of whole system significantly.

• Journal of Korean Society for Quality Management
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• v.37 no.1
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• pp.69-79
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• 2009

Supply Chain Management is the process of planning, implementing and controlling the operations of the supply chain to satisfy customer requirements as efficiently as possible. It spans all movements and storage of raw materials, work-in-process inventory, and finished goods from point-of-origin to point-of-consumption. Korean Standards Association claims the Supply Chain Quality Management(SCQM) as a win-win model of organizations among the supply chains for the best product/service quality to final customers. The SCQM is focused on quality of product/service and will do much for improving manufacturing performance between customer and suppliers. Consulting-teams make every effort to design suitable solution for constructing solutions and improving the performance. This study is to analyze the performance of SCQM consulting, from July of 2007 to June of 2008, and would provide some guidelines to design the optimal consulting models and develop guidebooks.

• Journal of the Korean Wood Science and Technology
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• v.33 no.5 s.133
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• pp.1-6
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• 2005

The anatomical structure of fusiform ray was examined by scanning electron microscopy (and microscopic images were analysed by image analyser) to explain the differences in radial fluid uptake between the extremes in the radial treatment data, i.e. between the selected trees of QCI (Queen Charlotte Islands in Rhondda, South Wales) and SO (South Oregon in Dalby, North-East England) planted in the UK. The ray structure of these two seed origins was examined microscopically and different patterns of ray composition were observed. The most important anatomical features influencing radial permeability were the nature of fusiform ray, and the condition of the resin canals, epithelial cells and intercellular spaces in particular.

• Applied Chemistry for Engineering
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• v.5 no.2
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• pp.373-377
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• 1994

A mechanism for the synthesis of benzophenone from oxidation of diphenylmethane under Aliquit 336 phase transfer catalyst is investigated in this study. The production rate of benzophenone increased with the increasing amount of Allquat 336 and potassium tert-butoxide. At low concentrations of diphenylmethane and oxygen, the reaction order was first with the concentrations of diphenylmethane and oxygen respectively, but it approached to zero order at high concentrations. Tert-butyl alcohol, by-product of the reaction, inhibited the formation of benzophenone. Experimental results fit fairly well to the following initial reaction rate equation derived from reaction mechanism. $$({\gamma}_{BP})_0={\frac{k_1k_3k_5[QCI]_0[DPM]_0[PTB]_0[O_2]_0}{k_2k_4[TBA]_0+k_2k_5[O_2]_0+k_3k_5[O_2]_0[DPM]_0}}$$