• Fashion & Textile Research Journal
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• v.23 no.4
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• pp.480-490
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• 2021

Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.403-411
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• 2021

This study discusses the influence of economic factors on the clothing exports from China and 15 South and Southeast Asian countries to the United States. A basic gravity trade model with three predictors, including the GDP value produced by exporting and importing countries and their geographical distance was established to explain the bilateral trade patterns. The conventional approach of multiple regression and the novel approach of Artificial Neural Networks (ANNs) were developed based on the value of clothing exports from 2012 to 2018 and applied to the trade pattern prediction of 2019. The results showed that ANNs can achieve a more accurate prediction in bilateral trade patterns than the commonly-used econometric analysis of the basic gravity trade model. Future studies can examine the predictive power of ANNs on an extended gravity model of trade that includes explanatory variables in social and environmental areas, such as policy, initiative, agreement, and infrastructure for trade facilitation, which are crucial for policymaking and managerial consideration. More research should be conducted for the examination of the balance between developing countries' economic growth and their social and environmental sustainability and for the application of more advanced machine-learning algorithms of global trade flow examination.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.36 no.7
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• pp.683-687
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• 2012

The purpose of this paper is to numerically study the characteristics of the indoor air flow of a square ceiling type diffuser according to the vane angle and flow rate. The CFX of ANSYS 13.0 was used for the CFD tool. The size of the room is $6m(X){\times}6m(Y){\times}2.7m(Z)$. The exhaust diffuser was positioned diagonally to the supply diffuser. This diffuser was designed to have many holes, so the air supply had long throw patterns with low velocity decay. The characteristics of the indoor air flow was studied at volume flow rates of 5.1 CMM and 7.4 CMM, and a vane angle from $30^{\circ}$ to $60^{\circ}$, every $10^{\circ}$.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.29 no.12
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• pp.61-67
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• 2015

Certainly, we are living in a true mobile society. At the end of 2014, approximately 40million 560thousand people are subscribed to smartphone services in Korea, using more than 2000MB of mobile data per a person. The use of smartphone is expected to increase. Moreover, smartphone moves toward becoming a requisite for modern people. Under the circumstances, high-speed communication services such as LTE provide high quality services anywhere and anytime and, furthermore, the development of high performances of the application makes the life patterns of modern people link directly to smartphone. Almost every day, new creative services are being introduced and the demands of on-line streaming services such as high-performance game and YouTube are increasing day after day. However, although smartphones are getting smarter and high quality services are rapidly growing, consumers still complain about the insufficient usage time caused by the capacity of batteries. In order to solve this problem, this thesis suggests EDLC(Electric Double-Layer Capacitor) uses as a supplemental power supply to keep the continuity of work while switching batteries. Through this approach, the running time of smartphone becomes longer as the number of batteries without power off and the purpose of this study is to maximize the convenience of using smartphone by eliminating the initialization of memories and the loss of time of rebooting while batteries are switched.

• Plant Journal
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• v.15 no.3
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• pp.35-41
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• 2019

In this study, we investigated the effect of the generation of NOx and CO by adjusting the overfire air supply position and ratio using the boiler that was converted from coal burning to wood pellet boiler. When the amount of the overfire air is relatively increased, the amount of NOx is slightly decreased but CO is sharply decreased when burning at low excess air ratio (1.10) that is due to a small fuel particle size. However, NOx slightly increased when burning at high excess air ratio (1.33) due to the large fuel size, but CO was hardly affected. Also, When the amount of overfire air was same, The more supply position was concentrated to upper portion of the main combustor, the more NOx and CO was lowered. And in case of the excess air ratio was high, the generation of NOx and CO I can see that it keeps the level irrelevant to the amount of air for the second stage combustion.

• Journal of Korea Trade
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• v.23 no.6
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• pp.131-144
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• 2019

Purpose - The purpose of this study was to investigate market power of soybeans exported by the United States to Korea. Particularly, this paper considered dichotomous characteristics of genetically modified (GM) soybeans and non-GM soybeans and conducted empirical analysis of these two segregated soybean markets to understand key tenets of market power in international soybean trade. Design/methodology - The difference in market power between GM and non-GM soybeans was analyzed using Residual Demand Elasticity (RDE) and Residual Supply Elasticity (RSE) models over the period of 2008~2018. RDE and RSE models under an imperfect competition condition were used to estimate market margins and determine whether GM and non-GM exporters or importers exercised market power in the destination market. Findings - Empirical results suggested that the U.S. had a market power on both GM and non-GM soybean exports. GM exports had greater market power than non-GM exports (14% vs. 9%). By contrast, Korea showed an inability to grab market margin or exert market power in soybean imports. Both export supply by the U.S. and import demand by Korea were found to be more responsive to price changes of GM soybeans than to prices changes of non-GM soybeans. This might be due to a self-interested, profit-seeking strategy by the exporter and many concerned consumers regarding potential adverse effects of GMOs in the importing country. Originality/value - This paper fills the literature gap by exploiting market power in both GM and non-GM markets with explicit consideration of price correlations between GM and non-GM soybeans in Korea. A number of existing studies have provided evidence for market power broadly embedded in international commodity trade. However, studies focusing on Korean markets are limited. No study has explored the country's soybean trade. Furthermore, the majority of prior studies have almost exclusively focused on the market power from a standpoint of exporting countries without discussing importers' market structure. This paper also sought to understand potentially distinguished patterns of market power between GM and non-GM markets.

• Journal of Korean Society of Water and Wastewater
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• v.37 no.6
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• pp.363-373
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• 2023

Numerous studies have established a correlation between sociodemographic characteristics and water usage, identifying population as a primary independent variable in mid- to long-term demand forecasting. Recent dramatic sociodemographic changes, including urban concentration-rural depopulation, low birth rates-aging population, and the rise in single-person households, are expected to impact water demand and supply patterns. This underscores the necessity for operational and managerial changes in existing water supply systems. While sociodemographic characteristics are regularly surveyed, the conducted surveys use aggregate units that do not align with the actual system. Consequently, many water demand forecasts have been conducted at the administrative district level without adequately considering the water supply system. This study presents an upward water demand forecasting model that accurately reflects real water facilities and consumers. The model comprises three key steps. Firstly, Statistics Korea's SGIS (Statistical Geological Information System) data was reorganized at the DMA level. Secondly, DMAs were classified using the SOM (Self-Organizing Map) algorithm to consider differences in water facilities and consumer characteristics. Lastly, water demand forecasting employed the PCR (Principal Component Regression) method to address multicollinearity and overfitting issues. The performance evaluation of this model was conducted for DMAs classified as rural areas due to the insufficient number of DMAs. The estimation results indicate that the correlation coefficients exceeded 0.9, and the MAPE remained within approximately 10% for the test dataset. This method is expected to be useful for reorganization plans, such as the expansion and contraction of existing facilities.

• Journal of the Economic Geographical Society of Korea
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• v.3 no.1
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• pp.35-51
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• 2000

International trade flows have been determined by social, cultural and political environment around the world as well as economic elements. The environment of international trade has changed rapidly as the world has globalized. Significant changes have been generated in the international trade flows. This study investigates the influences of economic globalization on the international trade flows. The changes in international trade flows examined comprehensively by integrating trade with industrial locations, investment, and the various trade related environments. The focus laid on the integration of world economies, such as widening and intensifying international linkages in economic, political and social relation. Special concerns are laid on the impacts of Foreign Direct Investments (FDI) by Trans National Corporations (TNCs), which affect the supply-demand distributions of commodities by industrial relocations, and the expansion of intra-firm trade flows on the international trade flow patterns. The geographical characteristics of tile origins and destinations of FDI flows analyzed, since the spatial patterns of the intra-firm trade flows are determined by them. The FDI and intra-firm trade flow patterns have changed significantly over time.

• Journal of the Korean Dietetic Association
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• v.4 no.2
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• pp.245-253
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• 1998

In this study, the food cost for the urban worker's living expenses was estimated for the Korea Labor Union. The urban workers living expenses are minimum of healthy and decency level expenses with allowances for minimum quality of life. Thus, the food cost should be enough for purchasing proper kinds and amount of foods which can supply sufficient nutrient to maintain health and which should reflect current food consumption patterns. To estimate the food cost, the Korean Recommended Dietary Allowances was used to calculate the amount of nutrients which should be supplied. The National nutrition survey and the Food balance sheet, were used to estimate the current consumption patterns for the kind and amount of food. To estimate price for each food item, the market survey was executed in six large cities. Also, to verify the estimated food cost, actual food costs were surveyed. For 5 kinds of model household, dietary allowances were calculated for the each nutrient. Using the Korean food guides, the number of serving for each food group were decided for the model households. In each food group, the amount and kind of foods were decided by the current food consumption pattern. The kind and amount of food were adjusted by the amount of calculated nutrient. When the amount of nutrient was between 90% and 110% of the recommended dietary intake, it was accepted. With these amount and kinds of foods, the food cost were calculated using the market survey. Considering extra expenses for the eating-out and processed foods, extra expenses are added. As a results, for single person family, the estimated food cost was 149,210won per month. For two, three, four and five person family, the estimated food costs were 245,179won, 381,182won, 501,669won and 687,980won per month, respectively. The estimated food cost were lower in the single and two person family than the actual food cost by the survey. The cost for eating-out gave major differences. In the future, to estimate food cost, the food consumption patterns for the different kind of household, sex and age should be studied carefully. Also, the pattern of eating-out should by analyzed.

• Korean journal of food and cookery science
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• v.31 no.2
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• pp.214-224
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• 2015

This study was conducted to identify the combination of foods and foodservice menu patterns, food supply rankings and dietary quality through the a collection of school menus from the fifth week of October 2009, up to the fourth week of November 2009, in three American international schools in Korea. The results of analysis were as follows. For the basic pattern of American international school foodservice menu, dietary patterns comprised of rice, soup, five side dishes, Kimchi and snacks were 23.19%, while menu pattern comprised of rice, soup, four side dishes, Kimchi and snacks were 18.84%. The two dietary patterns accounted for 42.03%. For the foodservice frequency and food rankings from No. 1 to No. 5, vegetables and seasoned vegetables were the highest, followed by cooked rice, Kimchi, soup, and stir-fried foods. For nutrients, the intake ratio of carbohydrates, protein and fat for the calories provided at the three schools was 57:18:24, 53:18:29, and 55:18:27. Compared with 55~70:7~20:15~25 according to by Korean nutrition standards, carbohydrates and protein were adequate, but fat was high. For the recommended nutrient intake (RNI), the provided nutrient ratio was higher than the RI of nutrition standards in schools. For the average nutrient adequacy ratio (NAR), all three schools were above 1. School C had an above-average ratio for vitamin B-complex and vitamin A. Phosphorus showed a significant difference in the nutrient density. For DDS, school C provided all five main food groups every day.