• Journal of the Korean Dietetic Association
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• v.14 no.2
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• pp.152-165
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• 2008

The purpose of this study was to investigate the status of implementing special events within school foodservice operations. A total of 359 questionnaires were distributed to dietitians employed at school foodservice operations in Busan from July 1 to 31, 2006 (response rate: 93%). The results indicated that approximately half of the respondents (47.7%) did not implement special events. The types of special events that foodservice operations had most frequently implemented were 'traditional festival day events' (19.0%), 'subdivisions of the season events' (18.3), 'seasonal events' (17.1%), 'school events' (13.0%), 'single day events' (10.2%). According to the dietitians' characteristics, older dietitians implemented 'healthy food events' more frequently than younger dietitians. 'Traditional festival day events' (p<0.05) and 'subdivisions of the season events' (p<0.01) were more frequently implemented in independently managed foodservices than in contract operations. On the other hand, 'international food events', 'gift events', and 'healthy food events' were more frequently implemented in contract foodservices than in independent operations (p<0.001). Dietitians from elementary and middle schools implemented 'winter solstice', 'midsummer', 'children's day', and 'school foodservice day' events more frequently, whereas dietitians from high schools implemented 'midsummer', 'Valentine's day', and 'teacher's day' events more frequently. Most dietitians (94%) had never received education or training for special event marketing previously. Therefore, these results suggest there may be a need to develop educational programs on special event marketing for dietitians.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.2
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• pp.74-78
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• 2015

With the improvement of living standards and economic development, electricity consumption continues to grow. The electricity is a special energy which is hard to store, so its supply must be consistent with the demand. The objective of electricity demand forecasting is to make best use of electricity energy and provide balance between supply and demand. Hence, it is very important work to forecast electricity demand with higher precision. So, various forecasting methods have been developed. They can be divided into five broad categories such as time series models, regression based model, artificial intelligence techniques and fuzzy logic method without considering special-day effects. Electricity demand patterns on holidays can be often idiosyncratic and cause significant forecasting errors. Such effects are known as special-day effects and are recognized as an important issue in determining electricity demand data. In this research, we developed the power demand forecasting method using ELM(Extreme Learning Machine) for special day, particularly, lunar new year and Chuseok holiday.

• Journal of the East Asian Society of Dietary Life
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• v.2 no.1
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• pp.95-102
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• 1992

A bibliographical study on the superstition of special the day of the month was done to know the present practices and compare with Kongkooksesiki(동국세시기), Youlyangsesili(열양세시기), Kyoungdojabji(경도잡지). The superstition of special the day of the month which were celebrated in Choongcheongnam-Do, Kyungsangnam-Do, Hwanghae-Do area were the Junuary 15, the February 1, the July 7 and the winter solstice.

• Journal of the East Asian Society of Dietary Life
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• v.3 no.2
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• pp.83-97
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• 1993

The purpose of this study is to serve as the basic data for the possible effort of succeeding to traditional culture. The major findings of this study are as follows : On the question about [the importance of Special Days] was shown to average score of 3.8 On the question about [helpfulness degree of Seasonally Special Days] was shown to average score of 3,4 Regarding to the kinds of Seasonally Special days that people celebrate most, [The New Year's Day], [Chusok(Chinese Thanks-giving day)], [Dried Vegetables and mixed bowl of five-sort grains(Chusok:The 1st Full-Moon Day)], [Red beans Gruel (The Winter Solstice)] were shown to enjoy most. In preparation of dishes for Seasonally Special Days, about 58% of the respendants answered that they prepared them at their own homes. [Rice Cake] was shown to the highest among the kinds of ready-made deshes for Seasonally Special Days. On the hand down to foods for Seasonally Special Days, about 38% of respondants answered that they do want to their daughters, The significant variable on family environment for this if family religion. On the prospect for succession of the Seasonally Special Days' customs including the dishes, about 80% of respondants answered that a part of them would be handed down to next generations. The significant variable on family environment for this is subjects' religion. On the degree of recognition of the Seasonally Special Days, mothers's group was predominent(compared with daughters')

• Journal of Industrial Technology
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• v.18
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• pp.379-384
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• 1998

Conventional short-term load forecasting techniques have limitation in their use on holidays due to dissimilar load behaviors of holidays and insufficiency of pattern data. Thus, a new short-term load forecasting method for special days in anomalous load conditions is proposed in this paper. The proposed method uses two Artificial Neural Networks(ANN); one is for the estimation of load curve, and the other is for the estimation of minimum and maximum value of load. The forecasting procedure is as follows. First, the normalized load curve is estimated by ANN. At next step, minimum and maximum values of load in a special day are estimated by another ANN. Finally, the estimate of load in a whole special day is obtained by combining these two outputs of ANNs. The proposed method shows a good performance, and it may be effectively applied to the practical situations.

• Journal of the East Asian Society of Dietary Life
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• v.18 no.3
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• pp.277-293
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• 2008

We conducted a consensual, expansive, and successive study to compare cultural differences and similarities between Korean, Chinese and Japanese's Seasonal Festivals and Foods documentarily. It showed interesting results that the three countries had celebrated with similar meanings, and shared similar events and special foods. Seasonal Festivals happen throughout the year sequentially: the New Year Day, January $15^{th}$(first full moon festival), March $3^{rd}$(double three day), May $5^{th}$(double five day), July $7^{th}$(double seven day) and finally the Year Farewell Festival. While, the festival of a royal birthday of Buddha happens on April $8^{th}$ in both countries: Korea and Japan. There is also one of the big festivals called the harvest moon festival on August $15^{th}$, and this event celebrates with special foods both in Korea and China. On December $23^{th}$, it is a special day for both Chinese and Japanese, but they celebrate the day with different meanings to it. Three countries have a special seasonal event celebrated each other. Koreans have a special event called Sambok to overcome summer with special food during a middle of June to the beginning of July. Chinese have a special event for overcoming winter with soup on December $8^{th}$. Japanese have a special event with rice cake to safety on January $11^{th}$. On these seasonal festivals, it is different to note that two different kinds of calendars are used. The lunar calendar is used by Koreans and Chinese whereas the solar calendar is used by Japanese. Because of the similarity in Buddhism, and agricultural industry, and especially sharing Chinese Characters in words, these three countries have in common in many ways to celebrate Seasonal Festival, and it is very unique custom in the world. Nowadays; however, these traditional events and special foods are changing in more simplified version and almost disappearing in all three countries. Therefore, we suggest that the Seasonal Festivals and Foods should be more emphasized in flourishing and exchanging between Korea, China and Japan.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.58 no.4
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• pp.505-510
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• 2009

In this paper, building energy analysis and energy cost of power stand up and demand control over the power proposed to reduce power demand. Through analysis of the load power demand special day were able to apply the pattern. In addition, the existing rate of change of load forecasting to reduce the large errors were not previously available data. And daily schedules and special day for considering the exponential smoothing methods were used. Previous year's special day and the previous day due to the uncertainty of the load and the model components were considered. The maximum demand power control simulation using the fuzzy control of power does not exceed the contract. Through simulation, the benefits of the proposed energy-saving techniques were demonstrated.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.27 no.6
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• pp.17-22
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• 2013

Fuzzy linear regression method has been used for short-term load forecasting of the special day in the previous researches. However, considerable load forecasting errors would be occurring if a special day is located on Saturday or Monday. In this paper, a new load forecasting method for the consecutive holidays is proposed with the consideration of the power demand variation rate. In the proposed method, a exponential smoothing model reflecting temperature is used to short-term load forecasting for Sunday during the consecutive holidays and then the loads of the special day during the consecutive holidays is calculated using the hourly power demand variation rate between the previous similar consecutive holidays. The proposed method is tested with 10 cases of the consecutive holidays from 2009 to 2012. Test results show that the average accuracy of the proposed method is improved about 2.96% by comparison with the fuzzy linear regression method.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.8
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• pp.1019-1023
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• 2018

In this paper sensitivity analysis of temperature on special day electricity demand of land and Jeju Island is performed. The basic electricity demand per 3 hours is defined as electricity demand that reflects the GDP effect without the temperature influence. The temperature sensitivity per 3 hours is calculated through the relationship between special day electricity demand normalized to basic electricity demand and temperature. In the future, forecast error will be improved if the temperature sensitivity per 3 hours is applied to the special day load forecasting.

• Journal of the East Asian Society of Dietary Life
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• v.11 no.6
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• pp.417-429
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• 2001

The purpose of this study is to investigate university students' eating habits during special occasions and the willingness to pass on traditions of cooking certain dishes on special occasions to the next generation. The procedure of this study included a questionnaire to collect data for this study. The results are summarized as fellows: there were 689 participants. 314 male and 375 female. Most participants were nuclear families(84.5%), Practicing cooking traditions during the special occasions at home on New year's day. Chusuk, Ceremony of a forefather's death, the 15th of the first month. and Winter solstice exceeded 70% of households. In every event, most persons who make the food during the special events at home are mothers. Furthermore, most persons who teach the cooking method are mothers. too. Most foods which were taken In the annual events generally were as fellows : rice cake soup on New Year's Day. boiled rice admixed with four other staple cereals on the 15th of the first month, half-moon-shaped rice cake on Chusuk. a rice-and-mugwort cake on Buddha's birthday, rice and adzuki-bean on the winter solstice and cake on Christmas and wedding anniversary. The results of the survey of perception of food traditions during the special events was as follows ; ‘annual events helped peoples to make relationships with family and relatives deeper’ showed the highest agreement. The willingness to pass on traditional foods for the special days showed the highest agreement on New Year's Day and Chusuk, followed by Ceremony of a forefather's death. the 15th of the first month, and finally the winter solstice.