• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.44-53
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• 2014

This study seeks to analyze vertical integration structure of Korean popular music market focused on corporation concentration and production system by applying production of culture perspective of Peterson, Subject of analysis is Melon weekly music chart(2000-2013), which is No.1 digital music distributor. The result showed vertical integration structure of Korean popular music industry was different from America. Vertical integration of American major was based on open system to be responsible for promotion and distribution by M&A of independent label but entrusted them-with total production to cope-with uncertainty of music market. On the other hand, Korean system was in charge of pure distribution only as digital service provider and it showed modified vertical structure because traditional value chain was destroyed by changing digital music environment. Especially found seriousness of oligopoly by distribution company of conglomerate affiliation. and this is harm against building healthy industry ecosystem in creative economy era and it needs improvement through study of advanced case, open system.

• Korean Journal of Food Science and Technology
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• v.25 no.4
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• pp.404-406
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• 1993

In order to detect the gelation of ultrahigh temperature (UHT) treated market milks during storage at 20+1C, the free amino groups were quantified with 2,4,6-trinitrobenzene sulfonic acid, and the measurement of pH values and the alcohol test were monthly carried out. The average tree amino groups were $0.94{\sim}1.11{\mu}M$ at 1 month, $1.95{\sim}2.17{\mu}M\;at\;5{\sim}6$ month and $4.95{\sim}6.36{\mu}M$ at 12 month. The pH values at the same time as above were $6.72,\;6.49{\sim}6.55\;and\;6.14{\sim}6.16$, respectively. The alcohol test showed positive results at $5{\sim}6$ month, which could indicate the casein instability and beginning of gelation. These results suggest that the gelation of UHT market milks could he predicted through checking some chemical parameters weekly and be helpful for quality control.

• Journal of Korea Trade
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• v.25 no.4
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• pp.17-36
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• 2021

Purpose - This study provides useful information to stakeholders by forecasting the tramp shipping market, which is a completely competitive market and has a huge fluctuation in freight rates due to low barriers to entry. Moreover, this study provides the most effective parameters for Baltic Dry Index (BDI) prediction and an optimal model by analyzing and comparing deep learning models such as the artificial neural network (ANN), recurrent neural network (RNN), and long short-term memory (LSTM). Design/methodology - This study uses various data models based on big data. The deep learning models considered are specialized for time series models. This study includes three perspectives to verify useful models in time series data by comparing prediction accuracy according to the selection of external variables and comparison between models. Findings - The BDI research reflecting the latest trends since 2015, using weekly data from 1995 to 2019 (25 years), is employed in this study. Additionally, we tried finding the best combination of BDI forecasts through the input of external factors such as supply, demand, raw materials, and economic aspects. Moreover, the combination of various unpredictable external variables and the fundamentals of supply and demand have sought to increase BDI prediction accuracy. Originality/value - Unlike previous studies, BDI forecasts reflect the latest stabilizing trends since 2015. Additionally, we look at the variation of the model's predictive accuracy according to the input of statistically validated variables. Moreover, we want to find the optimal model that minimizes the error value according to the parameter adjustment in the ANN model. Thus, this study helps future shipping stakeholders make decisions through BDI forecasts.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1105-1114
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• 2018

The growth rate of the domestic digital music contents market has been remarkable recently. Accordingly, the necessity of prediction for chart success of digital music contents has grown. This paper proposes prediction indexes for chart success of digital music contents through analysis of correlation between social data such as Internet news, SNS and entry rankings in Melon's weekly music charts. We collected a total of 10 social data items for each male and female artist, and executed cluster analysis. Through this, we found meaningful prediction indexes for chart success of digital music contents for each male and female artist.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.135-138
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• 2000

This paper is intended to propose what manufacturing configuration (manufacturing planning and shop floor control) is suitable for the tire industry. Basically tire-manufacturing process is mixed-products, parallel-disconnected-flow-shop. Both throughput time and cycle tine are very short, the variety of tires is very high, the setup time is long, shop floor data reporting requirements is high, and there are many equipments and people working. And with no exception, tire industry also now confronts increasing requirements of delivery conformance with the above peculiar characteristics of tire manufacturing and changing market environments, this paper suggests, weekly master scheduling with no MRP is desirable and traditional kanban is right selection for shop floor control/scheduling. This paper describes why this configuration should be, using the manufacturing engineering principles and some new insights like four primitives of parallel flow shop. Generally known that shop with high parallel-product-mix and long setup time isn't good candidate for kanban. The four primitives of parallel flow shop explain why kanban is also useful scheduling technique in that environment.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.839-850
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• 2021

Risk-adjusted return is believed to be one of the optimal parameters to determine an optimum portfolio. A risk-adjusted return is a calculation of the profit or potential profit from an investment that takes into account the degree of risk that must be accepted to achieve it. This paper presents a new procedure in portfolio selection and utilizes these results to optimize the risk level of risk-adjusted Islamic stock portfolios. It deals with the weekly close price of active issuers listed on Jakarta Islamic Index Indonesia for a certain time interval. Overall, this paper highlights portfolio selection, which includes determining the number of stocks, grouping the issuers via technical analysis, and selecting the best risk-adjusted return of portfolios. The nominated portfolio is modeled using Quadratic Programming (QP). The result of this study shows that the portfolio built using the lowest Value at Risk (VaR) outperforms the market proxy on a risk-adjusted basis of M-squared and was chosen as the best portfolio that can be optimized using QP with a minimum risk of 2.86%. The portfolio with the lowest beta, on the other hand, will produce a minimum risk that is nearly 60% lower than the optimal risk-adjusted return portfolio. The results of QP are well verified by a heuristic optimizer of fmincon.

• Journal of Family Resource Management and Policy Review
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• v.23 no.2
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• pp.17-40
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• 2019

The purpose of this study is to analyze the present condition of work-leisure balance and its influencing factors in employed young single households. Three groups of sample households-work-oriented, balanced, and leisure-oriented-were compared by factors related to work and leisure. Six cases were interviewed to obtain qualitative data on the subjective meaning of work-life balance and its influencing factors. The results showed different characteristics between the three groups based on the various work- and -leisure- related factors: average weekly working hours of the week, number of vacation days per year, weekday leisure time, degree of weekday freedom, and sufficiency of the leisure cost. In addition, the characteristics considered desirable for quality of life differed between groups. Finding the meaning of life through work and leisure was very important for those respondents, who have an unstable position in the labor market, and who want to delay making decisions on moving into the marriage and family-building phase recognized as a major development task for Korean adults.

• Journal of Food Hygiene and Safety
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• v.32 no.1
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• pp.42-49
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• 2017

The aim of this study was to determine total mercury and methyl mercury level in fishes (Deep-sea Fish, Tuna, Billfish) and fishery products. A total of 101 fishes and 44 fishery products samples collected from commercial market in Gyeonggi-do. Total mercury were analysed by mercury analyzer and methyl mercury were analyzed by gas chromatography with electron capture detector. In the fishes, total mercury was detected in all samples and methylmercury was detected in 92 samples of them. The detection rate of methylmercury was 91.1% in fishes. The mean concentration (mg/kg) of total mercury and methylmercury were $1.968{\pm}0.505/0.496{\pm}0.057$ for Billfish, $0.665{\pm}0.091/0.252{\pm}0.033$ for Deep-sea Fish and $0.577{\pm}0.085/0.218{\pm}0.025$ for Tuna, respectively. The Swordfish contains the highest level of total mercury (1.968 mg/kg) and methylmercury (0.496 mg/kg). In Mabled rockfish, the ratio of methylmercury's contents about total mercury's contents was the highest as 66.5%. In case of fishery products, frozens made of 100% of raw material contained the highest level of total mercury and methyl mercury. The weekly intake of total mercury and methylmercury was calculated in 4.72% and 5.24% of Provisional Tolerable Weekly Intake (PTWI) respectively. This study showed that the weekly intake of methylmercury from Deep-sea Fish, Tuna and Billfish was less than the PTWI recommended by the Joint FAO/WHO expert committee on food additives.

• Journal of the Korean Society for Marine Environment & Energy
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• v.19 no.3
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• pp.203-210
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• 2016

In this study, nine heavy metals were analyzed in seaweeds collected from market and laver culture farm of Korea and a food safety assessment were also carried out for these heavy metals. The level of heavy metal concentrations in seaweeds was in the following order: Fe>As>Zn>Cu>Cd>Pb>Cr>Ni>Hg. Except for zinc and cadmium, seven heavy metals were significantly higher in cultured laver than in processed laver. Significant correlation was observed Cr-Fe in cultured laver and Cu-Zn, Cd-Cu, Cd-Zn and Pb-Ni in processed laver and Cu-Cr, Cu-Zn, Cd-Cr and Ni-Fe in sea tangle and Zn-Fe, Cr-Fe, Cr-Zn, Cd-Ni, Cu-Cd and Cu-Pb in processed sea mustard. Considering differences in heavy metal concentration between processed laver and cultured laver and in correlation among heavy metals, removal efficiency of heavy metals may be attributed to seaweed treatment process. The average weekly intakes of Cu, Cd, Zn, Fe and Hg via seaweeds consumption were about 0.1~7.6% of PTWI (Provisional Tolerable Weekly Intakes). Therefore, it was found that heavy metals in the seaweeds were very safe for consumption.

• The Korean Journal of Financial Management
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• v.26 no.1
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• pp.165-188
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• 2009

This paper has suggested the methodology for the frontier portfolios and the optimal portfolio under the mean-VaR framework, not assuming the normal distribution and considering the investor's preferences for the higher moments of return distributions. It suggested the grid and rank approach which did not need an assumption about return distributions to find the frontier portfolios. And the optimal portfolio was selected using the utility function that considered the 3rd and the 4th moments. For the application of the methodology, weekly returns of the developed countries index, the emerging market index and the KOSPI index were used. After the frontier portfolios of the mean-variance framework and the mean-VaR framework were selected, the optimal portfolios of each framework were compared. This application compared not only the difference of the standard deviation but also the difference of the utility level and the certainty equivalent expressed by weekly expected returns. In order to verify statistical significances about the differences between the mean-VaR and the mean-variance, this paper presented the statistics which were obtained by the historical simulation method using the bootstrapping. The results showed that an investor under the mean-VaR framework had a tendency to select the optimal portfolio which has bigger standard deviation, comparing to an investor under the mean-variance framework. In addition, the more risk averse an investor is, the bigger utility level and certainty equivalent he achieves under the mean-VaR framework. However, the difference between the two frameworks were not significant in statistical as well as economic criterion.