• Journal of Digital Convergence
• /
• v.19 no.11
• /
• pp.45-52
• /
• 2021

This study conducted t-test and ANOVA analysis, influence of importance-satisfaction, regression analysis to local food and restaurants to the purchase intention in Busan. The subjects of this study were tourists who visited local restaurants in Busan, and the final 392 copies were used for empirical analysis. As a result of the study, first, there will be a significant difference in the recognition of local foods in Busan according to the visitor's region. In all samples, the recognition was high in the order of pork stock, wheat noodle, sauteed·fired soft eel, grilled·ell sashmi. On the other hand, sansung bulgogi, Dongrae pajeon, and sansung makkŏlli were the lowest. Second, in the difference between importance and satisfaction of local restaurants in Busan, 'there is a different taste compared to other regions' showed high satisfaction and importance. Third, In the relationship between the awareness of local restaurants in Busan and the purchase intention, it was found to be effective in service, facilities, prices and locality and cleanliness were rejected.

• KIPS Transactions on Software and Data Engineering
• /
• v.11 no.2
• /
• pp.81-86
• /
• 2022

Given that time series are used in various fields, such as finance, IoT, and manufacturing, data analytical methods for accurate time-series forecasting can serve to increase operational efficiency. Among time-series analysis methods, multi-horizon forecasting provides a better understanding of data because it can extract meaningful statistics and other characteristics of the entire time-series. Furthermore, time-series data with exogenous information can be accurately predicted by using multi-horizon forecasting methods. However, traditional deep learning-based models for time-series do not account for the heterogeneity of inputs. We proposed an improved time-series predicting method, called the temporal fusion transformer method, which combines multi-horizon forecasting with interpretable insights into temporal dynamics. Various real-world data such as stock prices, fine dust concentrates and electricity consumption were considered in experiments. Experimental results showed that our temporal fusion transformer method has better time-series forecasting performance than existing models.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.4
• /
• pp.179-187
• /
• 2009

Most real world systems contain a series of dynamic and complex phenomena. One of common methods to understand these systems is to build a model and analyze the behavior of them. A two-step methodology comprised of clustering and then model creation is proposed for the analysis on time series data. An interface is designed for CRM(Customer Relationship Management) that provides user with 1:1 customized information using system modeling. It was confirmed from experiments that better clustering would be derived from model based approach than similarity based one. Clustering is followed by model creation over the clustered groups, by which future direction of time series data movement could be predicted. The effectiveness of the method was validated by checking how similarly predicted values from the models move together with real data such as stock prices.

• The Korean Journal of Applied Statistics
• /
• v.36 no.6
• /
• pp.561-571
• /
• 2023

Volatility of a time series is defined as the conditional variance on the past information. In particular, for financial time series, volatility is regarded as a time-varying measure of risk for the financial series. To capture the intrinsic asymmetry in the risk of financial series, various asymmetric volatility processes including threshold-ARCH (TARCH, for short) have been proposed in the literature (see, for instance, Choi et al., 2012). This paper proposes a volatility function featuring non-zero origin in which the origin of the volatility is shifted from the zero and therefore the resulting volatility function is certainly asymmetric around zero and achieves the minimum at a non-zero (rather than zero) point. To validate the proposed volatility function, we analyze the Korea stock prices index (KOSPI) time series during the Covid-19 pandemic period for which origin shift to the left of the zero in volatility is shown to be apparent using the minimum AIC as well as via parametric bootstrap verification.

• Korean Business Review
• /
• v.22 no.2
• /
• pp.35-59
• /
• 2009

The drive for sustainable economic growth for the sub Saharan African region continues to occupy a central place in the debate of how to move the region forward. For decades, governments, policy makers, Non Governmental Organizations and world bodies including the World Bank, IMF, ADB, USIAD and the European Union have engaged policies aimed at bringing solutions to the horrendous poverty crisis to nations of this region. Despite these noble actions and intents, poverty and underdevelopment has prevailed in countries of the region such as Cameroon. Cameroon is mainly an agricultural economy with its products facing declining prices and competition from synthetic substitutes resulting to deficits of balance of trades. This has resulted to borrowing and debt. At the same time, it is a country blessed with an abundance of tourist resources. From the literature review, tourism potency to economic growth is overwhelming. This research was motivated by the quest to find answers to questions such as; why development policies during the last two decades not succeeded in achieving Economic growth in countries of this region particularly Cameroon and why the country/ region still beleaguered by poverty and debt despite haven implemented various economic development plans. In recent years, the role of tourism has become increasingly recognized in its role of economic growth and poverty alleviation. This study attempts to unveil tourism's contribution to economic growth and to push for Tourism development as an al ternative economic growth alternative to Cameroon. Previous economic policies have ignored to tie economic growth within the country's socio-economic, geo-political and environmental circumstances. Findings from this work suggest that any sound economic policy can not afford to ignore the country's stock of both human and fiscal capital. Findings presented herewith validate Tourism as a feasible indigenous economic growth alternative that helps bringing employment, capital investment and protect the environmental ruin.

• Korean journal of communication and information
• /
• v.80
• /
• pp.115-142
• /
• 2016

This study aims to reveal the content of and logic behind a recent negative public sentiment toward female idols with the example of a debate over songstress IU's fourth album that was released late last year. While previous studies on fandom have focused on the identification process towards entertainers and making community, a recent phenomenon of "anti-fandom" or "malicious comments" implies that more research is needed on negative emotions such as hostility or schadenfreude (feelings of pleasure from others' misfortunes). Schadenfreude is a social sentiment that originated in modern liberalism, which features contradictions between public equality and private ownership, and that has been intensified in neoliberalism, which features a maximization of this contradiction centering on a meritocracy. Celebrities in Korea often become the targets of schadenfreude, which is associated with the suspicion that they gain popularity not from their abilities but from "just being popular." It should also be noted that this kind of schadenfreude operates differently between male and female entertainers. Specifically, the acquisition of money and fame by modern women whose presence used to be located in the private possessions of males is considered to be due to their unjustified use of sexuality. This is also the background of the recent online misogyny culture in Korea. In this context, IU, who had been successful at building a differentiated image of "sister-like idol artist," became a valid target. Although accusing IU of utilizing pedophilia reflects a stalemate that a current politics of sexual violence faces, it rather damages the name of an individual than attracts public attention to the structural causes of childsexualabuse. This is why I see the way that pedophilia was used in the debate over IU as a schadenfreude. Consequently, the term pedophilia here contributes to an expansion of the entertainment economy that is sustained by rises and falls of the celebrities' stock prices.

• Journal of Fashion Business
• /
• v.1 no.3
• /
• pp.60-70
• /
• 1997

The purpose of this study is to survey the sales of brassieres positively those of elderly women's (aged 50 or older) ones in particular through 72 sales outlets and thereby, in order to present the more comfortable brassiere models which can serve to reinstate elderly women's constitution and provide the useful basic data to brassiere makers and distributors for their business. The results of this survey and the suggestions therefrom can be summarized as follows; 1) Brassieres usually sell at 10,000-20,000 wons, which allows for 15% or more margin rate. Brassieres are disposed through bargain sales once or twice every year where their price are discount 10% or higher. Meanwhile, the majority of the brassieres distributors maintain more than 15% stock rate. The accumulated stocks are primarily disposed through return to makers or bargain sales. About 15% of the brassieres sold are returned by consumers to distributors to be replaced. 2) About a half of distributors operate some or other types of sales education programs. Most of these distributors feel that their educational program have been effective which suggests the effectiveness of sales educational program. On the other hand, 83.3% of the distributors operate in-house repair shops, while the absolute majority of them brief their customers on how to wear brassieres or clean them. 3) Because elderly women's understanding of brassieres sizes is very poor, they tend to ask help of the 'sales people about their sizes before purchasing and proper one personally. In other words, it has been disclosed that old women respond positively to seller's recommendation for their brassiere sizes. 4) It has been found that the brasseries sizes purchased by old women most are. 85A, 90A and 85B in their order, which suggests that the most popular size for under bust circumference is 85~90cm, while their primary cup size is "A". 5) The type of brasseries favored most by elderly women is the "full-cup" type, while their most favorite brassiere design is a soft and simple one. The colors preferred most by them are white, beige and pink in their order. 6) When being consulted by elderly women, sales people experience various difficulties due to their poor understanding of sizes and complaint about prices. Lastly, it has been found through this survey that elderly women want to see some sales promotion material featuring their brassiere sizes and their production arid ask the brasseries makers to produce more diverse brasseries sizes.

• Management & Information Systems Review
• /
• v.35 no.2
• /
• pp.273-284
• /
• 2016

The objective of this study is to analyze the market efficiency in the futures markets. Although many previous studies have investigated market efficiency between spot and futures prices, that with different maturities has not been studied in the futures markets extensively. For our objective, this paper examines KOSPI200 stock index future market with different maturities. We analyze the dynamic serial relationship of the difference of basis between nearest-month contract and next nearest-month contract using dynamic regression analysis suggested by Kawamoto and Hamori(2011) Using the data from 2000. 1 to 2013. 12, the major empirical findings are as follows: First. the mean and standard deviation of basis of next nearest-month contract is bigger than those of nearest-month contract. Second, the t-period basis of nearest-month contract can be explained by (t-1)period basis of that. Third, the basis spread of t-period and (t-1)period have negative affect on the return of underlying assets. This result is very reasonable because two basis spreads are derived from same underlying assets. Finally, basis information of next nearest-month contract can be used for the prediction of nearest-month contract and spot market return.

• Smart Media Journal
• /
• v.9 no.4
• /
• pp.26-35
• /
• 2020

Attempts to predict future stock prices have been studied steadily since the past. However, unlike general time-series data, financial time-series data has various obstacles to making predictions such as non-stationarity, long-term dependence, and non-linearity. In addition, variables of a wide range of data have limitations in the selection by humans, and the model should be able to automatically extract variables well. In this paper, we propose a 'sliding time step normalization' method that can normalize non-stationary data and LSTM autoencoder to compress variables from all variables. and 'moving transfer learning', which divides periods and performs transfer learning. In addition, the experiment shows that the performance is superior when using as many variables as possible through the neural network rather than using only 100 major financial variables and by using 'sliding time step normalization' to normalize the non-stationarity of data in all sections, it is shown to be effective in improving performance. 'moving transfer learning' shows that it is effective in improving the performance in long test intervals by evaluating the performance of the model and performing transfer learning in the test interval for each step.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.42 no.7
• /
• pp.1125-1132
• /
• 2013

In the kimchi manufacturing process, the starter is cultured on a large-scale and needs to be supplied at a low price to kimchi factories. However, current high costs associated with the culture of lactic acid bacteria for the starter, have led to rising kimchi prices. To solve this problem, the development of a new medium for culturing lactic acid bacteria was studied. The base materials of a this novel medium consisted of Chinese cabbage extract, a carbon source, a nitrogen source, and inorganic salts. The optimal composition of this medium was determined to be 30% Chinese cabbage extract, 2% maltose, 0.25% yeast extract, and $2{\times}$ salt stock (2% sodium acetate trihydrate, 0.8% disodium hydrogen phosphate, 0.8% sodium citrate, 0.8% ammonium sulfate, 0.04% magnesium sulfate, 0.02% manganese sulfate). The newly developed medium was named MFL (medium for lactic acid bacteria). After culture for 24 hr at $30^{\circ}C$, the CFU/mL of Leuconostoc (Leuc.) citreum GR1 in MRS and MFL was $3.41{\times}10^9$ and $7.49{\times}10^9$, respectively. The number of cells in the MFL medium was 2.2 times higher than their number in the MRS media. In a scale-up process using this optimized medium, the fermentation conditions for Leuc. citreum GR1 were tested in a 2 L working volume using a 5 L jar fermentor at $30^{\circ}C$. At an impeller speed of 50 rpm (without pH control), the viable cell count was $8.60{\times}10^9$ CFU/mL. From studies on pH-stat control fermentation, the optimal pH and regulating agent was determined to be 6.8 and NaOH, respectively. At an impeller speed of 50 rpm with pH control, the viable cell count was $11.42{\times}10^9(1.14{\times}10^{10})$ CFU/mL after cultivation for 20 hr - a value was 3.34 times higher than that obtained using the MRS media in biomass production. This MFL media is expected to have economic advantages for the cultivation of Leuc. citreum GR1 as a starter for kimchi production.