• The Korean Journal of Applied Statistics
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• v.23 no.6
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• pp.1035-1045
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• 2010

Products and/or services should be objectively verified in terms of the technological and use-conditional considerations before entering a market. Every organization or company tries to find the better procedure and method for checking the core needs of customers based on their experience in the market and looks for continuous ways to evaluate the power of products and services(PoP). They also prefer the overall evaluation of indices that could reflect various customer needs, rather than a separate evaluation index for each characteristic of the product or service. S. Ko (2008) proposes a Multi-characteristics Sigma Level(MSL) that can simultaneously evaluate many characteristics of a product or service. In this research, using MSL and a new Blue Ocean Index(BOI), an application of NPS, mobile phone field test is considered from a practical and statistical point of view.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.42 no.6
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• pp.695-702
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• 2009

This study includes spatial variations in the catch of billfishes in the Pacific Ocean and examines factors affecting interannual changes in the catch. Main billfish species caught by Korean tuna longline fishery were blue marlin and swordfish. A main fishing ground of the species was the tropical Pacific Ocean, while additional fishing ground of billfishes tended to be formed in the Pacific coast of Mexico in the El Nino periods. Further, the catch of billfishes was significantly related to CPUE (tons/average of the used hooks/vessel) in the entire Pacific Ocean as an index of stock abundance and equatorial SOI (EQSOI) as an index of El Nino event. Annual changes in the catch of billfishes in the Pacific Ocean could be regulated mainly by variations of stock abundance. In addition, increase of the density of billfishes in the tropical Pacific and additional formation of fishing ground by El Nino event possibly contribute to increase of the catch of billfishes in the Pacific Ocean. On the other hand, linear regression model may be more adequate in the analysis of relationships between fisheries data and indices made from using some environmental factors.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.11a
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• pp.275-282
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• 2006

급변하는 무한경쟁의 기업 상황에서 앞으로 기업의 생존을 결정할 새로운 시장과 신제품의 방향은 매우 중요한 전략결정이다. 블루오션 전략에서는 기업의 생존을 위해서 기존의 경쟁 시장에서 벗어나 개척되지 않은 새로운 시장으로의 진입을 강조하였다. 이러한 새로운 시장의 진입을 결정하는 방법으로 전략캠퍼스를 제시하였다. 그러나 전략캠퍼스는 기업에서 블루오션을 찾는 방법에서 한계를 갖고 있었다. 본 연구에서는 블루오션 전략의 전략캠퍼스를 대신하여 새로운 시장 또는 제품의 선정방법으로 Timko의 고객만족계수를 사용하였고 레드오션의 유지 전략을 잠재적 고객만족 개선 지수(PCSI Index)를 적용함으로써 고객의 소리를 통하여 블루오션의 접근하는 방법을 제시하였다.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.959-974
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• 2021

Forel-Ule Index (FUI) is an index which classifies the colors of inland and seawater exist in nature into 21 gradesranging from indigo blue to cola brown. FUI has been analyzed in connection with the eutrophication, water quality, and light characteristics of water systems in many studies, and the possibility as a new water quality index which simultaneously contains optical information of water quality parameters has been suggested. In thisstudy, Ocean Colour-Climate Change Initiative (OC-CCI) based 4 km FUI was spatially downscaled to the resolution of 500 m using the Geostationary Ocean Color Imager (GOCI) data and Random Forest (RF) machine learning. Then, the RF-derived FUI was examined in terms of its correlation with various water quality parameters measured in coastal areas and its spatial distribution and seasonal characteristics. The results showed that the RF-derived FUI resulted in higher accuracy (Coefficient of Determination (R²)=0.81, Root Mean Square Error (RMSE)=0.7784) than GOCI-derived FUI estimated by Pitarch's OC-CCI FUI algorithm (R²=0.72, RMSE=0.9708). RF-derived FUI showed a high correlation with five water quality parameters including Total Nitrogen, Total Phosphorus, Chlorophyll-a, Total Suspended Solids, Transparency with the correlation coefficients of 0.87, 0.88, 0.97, 0.65, and -0.98, respectively. The temporal pattern of the RF-derived FUI well reflected the physical relationship with various water quality parameters with a strong seasonality. The research findingssuggested the potential of the high resolution FUI in coastal water quality management in the Korean Peninsula.

• Development and Reproduction
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• v.22 no.2
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• pp.175-182
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• 2018

In order to examine the effects of four different light spectra (white, red, green, and blue) on the oocyte maturation, the change of reproductive parameters, via brain-pituitary-gonad (BPG) axis in grass puffer, were investigated. After exposure four different light spectra for 7 weeks, the abundance of gonadotropin-releasing hormone (GnRH) mRNA which is a type of seabream (sbGnRH) and two different subunit of gonadotropin hormones mRNAs, follicle-stimulating hormone ($fsh{\beta}$) mRNA and luteinizing hormone ($lh{\beta}$) mRNA, were analyzed in the brain and pituitary. Histological analysis showed that the mature oocyte ratio in the green spectrum was higher than other light spectra-exposed groups. Gonadosomatic index (GSI) and oocyte developmental stage were also investigated in the gonad based on histological observations. GSI value with the presence of yolk stage oocytes was significantly increased in the green spectrum-exposed group when compared to that of the other light-exposed groups (white, red, and blue) (p<0.05). The abundances of sbGnRH mRNA and $fsh{\beta}$ mRNA in the green spectrum-exposed group were also significant higher than those of the other light spectra-exposed groups (p<0.05). These results indicate that the maturation of oocyte in grass puffer can be accelerated by exposure to the spectrum of green. To better understand the molecular mechanism for the maturation of oocyte in grass puffer, further study examining the relationship between oocyte development and its related genes is required.

• Agribusiness and Information Management
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• v.4 no.1
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• pp.41-47
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• 2012

The Asian food market has been growing recently, due to the role played by major Asian countries, which include Korea, China, and Japan. This study is purposed to investigate the potential of the food market in these Northeast Asian countries and to suggest future direction for global food companies. For in-depth analysis, this study is limited in scope to the confectionery market and analyzes that market within two frameworks: first, the 'Market Attractiveness Matrix' which transforms the 'BCG Matrix' to fit into the food market in order to analyze the flow in the Asian confectionery market; and second, analysis of the potential growth of the market using a Category Development Index (CDI), which aids in understanding the growth potential of a market. The European food market has recently reached its capacity and is now experiencing a low growth rate (Data Monitor, 2011). It is time for food companies to find a new 'blue ocean' to avoid fierce competition in the mature markets of Europe. Therefore, this analysis of the confectionery market, using the Market Attractiveness Matrix and CDI will suggest opportune directions for global food companies.