• KIPS Transactions on Computer and Communication Systems
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• v.8 no.4
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• pp.87-92
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• 2019

This paper describes the pattern analysis for data of the factory energy consumption by using machine learning method. While usual statistical methods or approaches require specific equations to represent the physical characteristics of the plant, machine learning based approach uses historical data and calculate the result effectively. Although rule-based approach calculates energy usage with the physical equations, it is hard to identify the exact equations that represent the factory's characteristics and hidden variables affecting the results. Whereas the machine learning approach is relatively useful to find the relations quickly between the data. The factory has several components directly affecting to the electricity consumption which are machines, light, computers and indoor systems like HVAC (heating, ventilation and air conditioning). The energy loads from those components are generated in real-time and these data can be shown in time-series. The various sensors were installed in the factory to construct the database by collecting the energy usage data from the components. After preliminary statistical analysis for data mining, time-series clustering techniques are applied to extract the energy load pattern. This research can attributes to develop Factory Energy Management System (FEMS).

• Nutrition Research and Practice
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• v.15 no.2
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• pp.187-202
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• 2021

BACKGROUND/OBJECTIVES: The exposure to sucrose in rats has mimic abnormalities attributed to metabolic syndrome (MetS). The effects of honey bee and "free" glucose and fructose, have not been explored in this context. The aim was to expose Wistar rodents to sucrose solution (SS), honey solution (HS) and fructose/glucose solution (GFS) at 30% to assess their effects. SUBJECTS/METHODS: HS (n = 10), SS (n = 10) and GFS (n = 10) groups were formed. Solutions were ad libitum along 14-weeks. RESULTS: Between solutions consumptions, honey was significantly 42% higher (P = 0.000), while similar consumption was observed among GFS and SS. The feeding pattern of HS consumption was irregular along experiment; while the food intake pattern showed the similar trend among groups along time. Non statistical differences were obtained in any biochemical and anthropometric measure, however, a higher concentration of leptin (721 ± 507 pg/mL), lower concentration of total cholesterol (TC; 48.87 ± 2.41 mg/100 mL), very low density lipoprotein (VLDL; 16.47 ± 6.55 mg/100 mL) and triglycerides (82.37 ± 32.77 mg/100 mL) was obtained in SS group. For anthropometric values, HS showed less total adipose tissue (AT; average 26 vs. 31-33 g) and adiposity index (average 6.11 vs. 7.6). Due to sugar-sweetened beverages consumption increases the risk for the development of chronic diseases; correlations between fluid intake and anthropometric and biochemical parameters were assessed. A moderate correlation was obtained in groups with the weight of total AT and solution intake; for the weight gain in GFS group and for triglycerides in HS and GFS. The highest hepatic tissue damage was observed in SS group with multiple intracytoplasmic vacuoles, atypia changes, moderate pleomorphism and hepatocellular necrosis. CONCLUSIONS: In spite of the significantly higher consumption of HS, biochemical, anthropometrical and histological effects were not remarkably different in comparision to other sweeteners.

• Journal of the Korean Solar Energy Society
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• v.34 no.4
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• pp.1-7
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• 2014

The microgrid system is the combination of photovoltaic(PV) array, load, and battery energy storage system. The control strategies were defined as multi-modes of operation, including rest operation without use of battery, power charging, and power discharging, which enables grid connected mode or islanded mode. Photovoltaic power is a problem of the uniformity of power quality because the power generated from solar light is very sensitive to variation of insolation and duration of sunshine. As a solution to the above problem, energy storage system(ESS) is considered generally. There fore, in this study, we did basic research activities about optimization method of the amount of energy used, using a smart microgrid test-bed constructed in building. First, we analyzed the daily, monthly and period energy pattern amount of power energy used, and analyzed PV power generation level which is built on the roof. Utilizing building energy pattern analysis data, we was studied an efficient method of employing the ESS about building power consumption pattern and PV generation.

• The Korean Journal of Community Living Science
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• v.15 no.1
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• pp.115-125
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• 2004

• Korean Journal of Community Nutrition
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• v.6 no.5
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• pp.854-861
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• 2001

• Proceedings of KHEA Conference
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• 1997.07a
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• pp.62-62
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• 1997

• Journal of Dairy Science and Biotechnology
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• v.2 no.2
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• pp.64-68
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• 1983

• Journal of the Korean Society of Food Culture
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• v.1 no.3
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• pp.231-247
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• 1986

Age specific characteristics in Korean diet and their changes were analyzed with the demand model including the number of family members by age group as independent vasiables Urban household budget data, 773 household data in 1977 and 947 household data in 1983, was applied to the demand model. A series of F-test was carried out to set up the age groups by food item. The main results can be summarized as follows; 1. Food consumption patterns are remarkably different between 0-13 years old age generation and over 40 years old generation. The 0-13 years old generation reveals higher preference for milk, wheat product, fruit and milk and lower preference for rice and vegetable than any other age generation. This characteristics of the childhood diet has been formed In the generation born after 1970's and thus will be reserved as their generational characteristics. On the other hand, over 40 years old age group prefers rice and fish to fruit, milk and wheat product. Therefore we can conclude that over 40 years old age group maintains the traditional Korean diet pattern. 2. The preference for fish is low. in 20-30 years old age group than in any other age group and wheat product is Preferred highest in 6-13 years old age group of all age groups. Meanwhile the most remarkable change In food consumption pattern is shown in meats and vegetables. Namely in 30 40 years old age group the preference for meat has increased substantially and that vegetable has decreased to a great extent. 3. The declining per capita consumption of rice spreads like a wave to higher age. groups, but over 40 years old age group bas played an important role in reducing the decreasing rate of rice consumption. In order to restrain the declining rice consumption a special integrated food policy is required to induce rice consumption in less 30 years old generation.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.624-628
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• 2008

The purpose of this study is to investigate the "map of mind" or subjectivity regarding consumption behaviors of consumers in the digital environment. This study investigated the values and psychological and behavioral characteristics that motivate consumption for each types of consumers in digital environment. 76 Statements were selected from literature review and popular press articles that introduced consumption related phenomena. A total of 33 participants included experts on digital consumption and lay person, The results indicated that there are 6 groups representing Korean consumption patterns in digital environment: Digital Modernist, Digital Boomer, Digital Chic, Digital Ludens, Digital Conservative, and Digital Renaissance. This research is meaningful in that it provides a framework to view the diverse consumption behaviors in a more holistic rather than independent perspective, considering psychological aspects such as personal values and lifestyles.

• Fisheries and Aquatic Sciences
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• v.24 no.12
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• pp.415-427
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• 2021

Wetland ecosystems act as natural freshwater purification systems, but their rich biodiversity is being threatened with the introduction of the non-native freshwater snail, Pomacea canaliculata. This study was conducted to measure the herbivory effects and growth rate of P. canaliculata on common macrophytes: Ipomoea aquatica, Ipomoea batatas, Pandanus amaryllifolius and Cucurma longa. In separate experiments, the macrophyte species were served as the snails' food as individual species and simultaneously. In the individual treatment, the growth pattern and rate were based on the snails' weight (mg/snail/day; n = 9) while the individual feeding consumption (mg/snail/day) was calculated from the leftover food. In the simultaneous treatment, the herbivory effects were evaluated as the feeding preference (%) from observations every two hours, while the total feeding consumption (mg) was calculated based on the food remaining after a 12-hour experiment (3 replicates: total n = 27). The results indicated that the growth pattern was significant for snails grazing on I. aquatica but not when other macrophyte species were eaten. The individual feeding consumption was higher when using I. aquatica than P. amaryllifolius but the growth rate for snails grazing on I. aquatica and P. amaryllifolius did not differ significantly. Meanwhile, the consumption of C. longa deterred the snails' growth rate. Although the snails consumed all the macrophytes in the individual experiment, when given the species simultaneously, the feeding preference and total feeding consumption were directed significantly more toward I. aquatica than P. amaryfollius and C. longa. We conclude that P. canaliculata is a generalist feeder given a limited choice of food but tends to show a strong feeding preference after being introduced to more food choices. These findings indicate that the introduction of P. canaliculata into wetland ecosystems may increase the herbivory effects on macrophytes, making these ecosystems vulnerable to the impact of eutrophication and biodiversity reduction.