• Title/Summary/Keyword: Changing seasonality

Search Result 9, Processing Time 0.031 seconds

Daily Gas Demand Forecast Using Functional Principal Component Analysis (함수 주성분 분석을 이용한 일별 도시가스 수요 예측)

  • Choi, Yongok;Park, Haeseong
    • Environmental and Resource Economics Review
    • /
    • v.29 no.4
    • /
    • pp.419-442
    • /
    • 2020
  • The majority of the natural gas demand in South Korea is mainly determined by the heating demand. Accordingly, there is a distinct seasonality in which the gas demand increases in winter and decreases in summer. Moreover, the degree of sensitiveness to temperature on gas demand has changed over time. This study firstly introduces changing temperature response function (TRF) to capture effects of changing seasonality. The temperature effect (TE), estimated by integrating temperature response function with daily temperature density, represents for the amount of gas demand change due to variation of temperature distribution. Also, this study presents an innovative way in forecasting daily temperature density by employing functional principal component analysis based on daily max/min temperature forecasts for the five big cities in Korea. The forecast errors of the temperature density and gas demand are decreased by 50% and 80% respectively if we use the proposed forecasted density rather than the average daily temperature density.

LSTM based Network Traffic Volume Prediction (LSTM 기반의 네트워크 트래픽 용량 예측)

  • Nguyen, Giang-Truong;Nguyen, Van-Quyet;Nguyen, Huu-Duy;Kim, Kyungbaek
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2018.10a
    • /
    • pp.362-364
    • /
    • 2018
  • Predicting network traffic volume has become a popular topic recently due to its support in many situations such as detecting abnormal network activities and provisioning network services. Especially, predicting the volume of the next upcoming traffic from the series of observed recent traffic volume is an interesting and challenging problem. In past, various techniques are researched by using time series forecasting methods such as moving averaging and exponential smoothing. In this paper, we propose a long short-term memory neural network (LSTM) based network traffic volume prediction method. The proposed method employs the changing rate of observed traffic volume, the corresponding time window index, and a seasonality factor indicating the changing trend as input features, and predicts the upcoming network traffic. The experiment results with real datasets proves that our proposed method works better than other time series forecasting methods in predicting upcoming network traffic.

Reemerging vivax malaria: changing patterns of annual incidence and control programs in the Republic of Korea

  • Han, Eun-Taek;Lee, Duk-Hyoung;Park, Ki-Dong;Seok, Won-Seok;Kim, Young-Soo;TSUBOI, Takafumi;Shin, Eun-Hee;Chai, Jong-Yil
    • Parasites, Hosts and Diseases
    • /
    • v.44 no.4 s.140
    • /
    • pp.285-294
    • /
    • 2006
  • Changing patterns of the reemerging Plasmodium vivax malaria in the Republic of Korea (South Korea) during the period 1993 to 2005 are briefly analyzed with emphasis on the control measures used and the effects of meteorological and entomological factors. Data were obtained from the Communicable Diseases Monthly Reports published by the Korea Center for Disease Control and Prevention, and webpages of World Health Organization and United Nations. Meteorological data of Kangwon-do (Province) were obtained from local weather stations. After its first reemergence in 1993, the prevalence of malaria increased exponentially, peaking in 2000, and then decreased. In total, 21,419 cases were reported between 1993 and 2005 in South Korea. In North Korea, a total of 916,225 cases were reported between 1999 and 2004. The occurrence of malaria in high risk areas of South Korea was significantly (P < 0.05) correlated with the mosquito population but not with temperature and rainfall, Control programs, including early case detection and treatment, mass chemoprophylaxis of soldiers, and international financial aids to North Korea for malaria control have been instituted. The situation of the reemerging vivax malaria in the Republic of Korea is remarkably improving during the recent years, at least in part, due to the control activities undertaken in South and North Korea.

Forecasting short-term transportation demand at Gangchon Station in Chuncheon-si using time series model (시계열모형을 활용한 춘천시 강촌역 단기수송수요 예측)

  • Chang-Young Jeon;Jia-Qi Liu;Hee-Won Yang
    • Asia-Pacific Journal of Business
    • /
    • v.14 no.4
    • /
    • pp.343-356
    • /
    • 2023
  • Purpose - This study attempted to predict short-term transportation demand using trains and getting off at Gangchon Station. Through this, we present numerical data necessary for future tourist inflow policies in the Gangchon area of Chuncheon and present related implications. Design/methodology/approach - This study collected and analyzed transportation demand data from Gangchon Station using the Gyeongchun Line and ITX-Cheongchun Train from January 2014 to August 2023. Winters exponential smoothing model and ARIMA model were used to reflect the trend and seasonality of the raw data. Findings - First, transportation demand using trains to get off at Gangchon Station in Chuncheon City is expected to show a continuous increase from 2020 until the forecast period is 2024. Second, the number of passengers getting off at Gangchon Station was found to be highest in May and October. Research implications or Originality - As transportation networks are improving nationwide and people's leisure culture is changing, the number of tourists visiting the Gangchon area in Chuncheon City is continuously decreasing. Therefore, in this study, a time series model was used to predict short-term transportation demand alighting at Gangchon Station. In order to calculate more accurate forecasts, we compared models to find an appropriate model and presented forecasts.

A Study on Operating Method to Save Energy from the Adsorption Dryer in the Process of Purifying Compressed Air (고순도 압축공기 제조시스템의 흡착식 Dryer에서 에너지절감을 위한 운전방법에 관한 연구)

  • Kang, Seok-Wan;Chang, Sung-Ho;Kim, Hyeon-Joon;Kim, Sung-Soo;Lee, Yeong-Wook
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.39 no.3
    • /
    • pp.180-191
    • /
    • 2016
  • Optimizing energy usage for maximum efficiency is an essential goal for manufacturing plants in every industrial manufacturing sector. The generation and distribution of purifying compressed air is a large expense incurred in practically all manufacturing processes. Not only is the generation and treatment expensive equipment of compressed air, but frequent maintenance and effective operation is also required. As a plant's compressed air system is often an integral part of the production process, it needs to be reliable, efficient, and easy to be maintain. In this paper, we study to find operating method to save energy from the adsorption dryer in the process of purifying compressed air, which is required for a clean room production site in "A" company. The compressed air passes through a pressure vessel with two "towers" filled with a material such as activated alumina, silica gel, molecular sieve or other desiccant material. This desiccant material attracts the water from the compressed air via adsorption. As the water clings to the desiccant, the desiccant particle becomes saturated. Therefore, Adsorption dryer is an extremely significant facility which removes the moisture in the air $70^{\circ}C$ below the dew point temperature while using a lot of energy. Also, the energy consumption of the adsorption dryer can be varied by various operating conditions (time, pressure, temperature, etc). Therefore, based on existing operating experiments, we have searched operating condition to maximize energy saving by changing operating conditions of the facility. However, due to a short experiment period (from September to October), further research will be focused on considering seasonality.

A Study on the Satisfaction of the Buffet Menu Quality of the Hotel Customers (호텔 고객의 뷔페 메뉴품질 만족도에 관한 연구)

  • Choi, Su-Keun;Lee, Yeon-Jung;Lee, Jin-Hyung
    • Journal of the Korean Society of Food Culture
    • /
    • v.19 no.5
    • /
    • pp.573-586
    • /
    • 2004
  • This study aims at providing useful information to establish subdivided marketing direction by deriving factors of significant extent and practicable extent of buffet users toward menu quality among super deluxe hotels in Gyeongju, and furthermore aims at presenting implications for efficient management result and sales increase of buffet in the future. The result of positive analysis is as follows. Firstly, in result of analyzing difference between importance and performance of hotel buffet in Gyungju area, importance is much higher than performance. Secondly, respondents consider that the most important menu of hotel buffet is main dish such as hot food and instant food rather than menu such as beverage, soup and salad. When it comes to attribute of menu quality, it appeared that respondents put highly significant extent on sanitariness of food, freshness of food, flavor of food, and seasonality and variety of menu. Thirdly, oriental instant food is included in the second quadrant of IPA regarding buffet menu which should be intensively managed. And three attributes such as temperature of food, time of changing food, and creativity of menu are included in the second quadrant of IPA graph by attribute of hotel buffet's menu quality. Lastly, in IPA graph by hotel, the following menus of each hotel need to be intensively managed: Oriental instant food of A hotel, Western cold food of B hotel, Oriental instant food, Western instant food, and Oriental dessert of C hotel, and Western porridge soup, Oriental instant food, and Western instant food of E hotel. The aforementioned menus should be improved.

The Seasonal Changes of Influenza Virus and Rotavirus in Children (소아에서 인플루엔자바이러스와 로타바이러스의 유행 시기의 변화)

  • Lee, Sang-Min;Lee, So-Yeon;Kim, Young-Ho;Lee, Kyu-Man;Kim, Kwang-Nam
    • Pediatric Infection and Vaccine
    • /
    • v.15 no.2
    • /
    • pp.121-128
    • /
    • 2008
  • Purpose : The seasonality of influenza virus and rotavirus are well recognized in winter and so viral surveillance and laboratory-based diagnostics are important to guide the timing of prophylaxis and other interventions. Yet the seasonality of these two viruses are changing in Korea. We evaluated the prevalence and clinical features of influenza virus and rotavirus. Methods : From September 2001 to August 2005, nasopharyngeal aspirates were cultured from the hospitalized patients with lower respiratory infections and the stools from hospitalized patients with gastroenteritis were tested for rotavirus. We retrospectively analysed the medical records. Results : During the study period, respiratory virus was isolated in 578 (18.5%) out of 3,121 patients. Influenza virus was isolated in 143 cases. The seasonal distribution of influenza infection was from December to June of the next year. The ratio of males to females was 1.3:1 and the median age was 17 months. The most common diagnosis of influenza infection was bronchiolitis. Fever and cough were present in 94.4% and 83.9% of the patients, respectively. During the same period, 3,850 patients were admitted for gastroenteritis and 1,047 (27%) patients were positive for rotavirus. Rotavirus was prevailed from December to June of the next year and it presented in year-round. The ratio of males to females was 1.1:1 and the median age was 16 months. Diarrhea and vomiting were the most common symptoms. Conclusion : The recent peak prevalence of influenza virus and rotavirus in Korea was in winter and the late spring, respectively. So we need to expand surveillance and carefully consider the correct period to vaccinate people.

  • PDF

Long-Term Trend of Picophytoplankton Contribution to the Phytoplankton Community in the East Sea (동해 식물플랑크톤 군집에 대한 초미소 식물플랑크톤(< 2 ㎛) 기여도 장기 경향성 연구)

  • Hyo Keun Jang;Dabin Lee;Sang Heon Lee
    • Journal of the Korean Society of Marine Environment & Safety
    • /
    • v.29 no.6
    • /
    • pp.525-535
    • /
    • 2023
  • In thi study, we unveil the intricate interplay among picophytoplankton (0.2-2 ㎛) communities, warming surface water temperatures, and major inorganic nutrients within the southwestern East Sea from 2003-2022. The observed surface temperature rise, reflecting global climate trends, defies conventional seasonal patterns in temperate seas, with highest temperatures in summer and lowest in spring. Concurrently, concentrations of major dissolved inorganic nutrient display distinct seasonality, with peaks in winter and gradually declining thereafter during spring. The time course of chlorophyll-a concentrations, a proxy for phytoplankton biomass, reveals a typical bimodal pattern for temperate seas. Notably, contributions from picophytoplankton exhibited a steady annual increase of approximately 0.5% over the study period, although the total chlorophyll-a concentrations declined slightly. The strong correlations between picophytoplankton contributions and inorganic nutrient concentrations is noteworthy, highlighting their competitively advantageous responsiveness to the shifting nutrient regime. These findings reflect significant ecological implications for the scientific insights into the marine ecosystem responses to changing climate conditions.

Prediction of Evapotranspiration from Grape Vines in Suwon with the FAO Penman-Monteith Equation (FAO Penman-Monteith 공식을 이용한 수원지역 포도 수체 증발산량 예측)

  • Yun, Seok-Kyu;Hur, Seung-Oh;Kim, Seung-Heui;Park, Seo-Jun;Kim, Jeong-Bae;Choi, In-Myung
    • Korean Journal of Agricultural and Forest Meteorology
    • /
    • v.11 no.3
    • /
    • pp.111-117
    • /
    • 2009
  • Food and Agricultural Organization (FAO) Penman-Monteith (PM) equation is one of the most widely used equations for predicting evapotranspiration (ET) of crops. The ET rate and the base crop coefficients ($K_{cb}$) of the two different grape vines (i.e., Campbell Early and Kyoho) cultivated in Suwon were calculated by using the FAO PM equation. The ET rate of Campbell Early was $2.41\;mm\;day^{-1}$ and that of Kyoho was $2.22\;mm\;day^{-1}$ in August when the leaf area index was 2.2. During this period, the $K_{cb}$ of Campbell Early based on the FAO PM equation was on average 0.49 with the maximum value of 0.72. On the other hand, the $K_{cb}$ of Kyoho was averaged to be 0.45 with the maximum value of 0.64. The seasonal leaf area index for two grape cultivars was measured as 0.15 in April, 0.5 in May, 1.4 in June, 2.2 in July-September, and 1.5 in October. The $K_{cb}$ of Campbell Early showed a seasonal variation, changing from 0.03 in April to 0.11 in May, 0.31 in June, 0.49 in July-September, and 0.33 in October. The magnitudes and the seasonality of $K_{cb}$ of Kyoho were similar to those of Campbell Early.