• Journal of Computing Science and Engineering
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• v.5 no.4
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• pp.338-345
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• 2011

Nowadays mobile devices are used for various applications such as making voice/video calls, browsing the Internet, listening to music etc. The average battery consumption of each of these activities and the length of time a user spends on each one determines the battery lifetime of a mobile device. Previous methods have provided predictions of battery lifetime using a static battery consumption rate that does not consider user characteristics. This paper proposes an approach to predict a mobile device's available battery lifetime based on usage patterns. Because every user has a different pattern of voice calls, data communication, and video call usage, we can use such usage patterns for personalized prediction of battery lifetime. Firstly, we define one or more states that affect battery consumption. Then, we record time-series log data related to battery consumption and the use time of each state. We calculate the average battery consumption rate for each state and determine the usage pattern based on the time-series data. Finally, we predict the available battery time based on the average battery consumption rate for each state and the usage pattern. We also present the experimental trials used to validate our approach in the real world.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.11a
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• pp.261-265
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• 2008

To solve the lack of housing, our country has supplied an enormous volume of apartments, and these days it occupies 75% of our buildings. As apartments occupy most of our housings, the rate of energy usage from them are also high. On this, setting apartment energy reduction as a target, by researching the actual conditions of energy consumption and drawing a basis data, we can apply this as a way of saving energy, rationalization of the scale of energy supply facilities and a standard when planning facilities. To grasp the present condition of energy usage of the urban rental apartment, this research analysed the use of electricity, gas and water monthly and annually of a rental apartment that is located in Daegu. The results showed that in 2003 the electricity usage was 1,198MWh but 1,315MWh in 2007, which means 9% of electricity usage increases every year. The average of water usage was $85,072m^2$ per year and they used $604.2MJ/m^2$ Typical energy consumption unit on $74.4m^2$ of area and $448.8MJ/m^2$ on $105.8m^2$. By showing the usage of energy and water of the urban rental apartment, understanding the tendency and preparing an Typical energy consumption unit standard through this research, apartments should use energy more efficiently.

• Journal of the Korean Society of Food Culture
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• v.32 no.5
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• pp.403-411
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• 2017

When purchasing products or services, consumers tend to purchase multiple value attributes through the acquisition of a product rather than physical characteristics. This study empirically analyzed the relations between consumption value, brand attitude, and purchase intention of customers purchasing fair-trade coffee, by dividing consumption values that would have significant effects on consumers' actual purchase behavior into five levels. Among the consumption value factors of customers purchasing fair-trade coffee, the functional value, social value, emotional value, and rare value all had significant effects on brand attitude and purchase intention while the influence of situational value on brand attitude and purchase intention was not verified. These finding are partially concordant with those of preceding studies, and the consumption value of consumers purchasing fair-trade coffee has positive effects on purchase behavior; therefore, it would be necessary for companies selling fair-trade products to understand consumers' specific values. Moreover, analysis of the influence of brand attitude on purchase intention of customers purchasing fair-trade coffee revealed that purchase intention increased when brand attitude was higher. These finding indicate that it is necessary to identify measures to increase purchase intention by targeting consumer groups with high brand attitude with intensive promotions.

• Culinary science and hospitality research
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• v.14 no.1
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• pp.73-83
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• 2008

The purpose of this study was to investigate purchasing variables in the organic food consumption level in Busan. To achieve this purpose, 240 residential women who are organic food consumers were chosen. Among them, 149 women took part in the study. The questionnaire was composed of three parts: 8 demographic characteristics, 9 organic food purchasing conditions, and 22 purchasing variables. The research was continued from August 20th until September 10th, 2007. To derive the results, descriptive analysis, factor analysis, and ANOVA were used by spss 14.0. To sum up the results, three organic food consumption groups were classified into high, middle, and low consumption levels depending on buying condition for organic material. For the factor analysis, 5 factors were named as confidence, quality, safety, appearance, and economy. On the high consumption level, economy factor was highly important than other groups. In general, price would be a more sensitive factor, so they answered the adjusted price range; 52 participants said under 10%, 22 between 11% and 20%, and 17 over 40%.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.5
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• pp.777-781
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• 2012

In this paper, an electrical power simulation program was developed to predict the energy consumption of the electrical railway propulsion system, which considered the actual operating conditions of the electric railway vehicles. The developed program was designed to predictable the energy consumption during a virtual driving in the actual route of the virtual railway vehicles equipped with a propulsion system consisting of power conversion equipments and traction motors. In addition, the accuracy verification of the electrical power simulation program for a propulsion system was performed by using a real power consumption data, which was measured during the driving of the railway vehicles in the Gyeongui Line. In conclusion, the electrical power simulation program for a propulsion system was validated throughout a comparative investigation between the simulated values and the experimental values and the energy consumption characteristics of electric railway vehicles on the existing route or the new route will be possible to predict throughout the virtual simulation considering the driving conditions of the electric railway vehicles.

• Journal of Nutrition and Health
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• v.51 no.5
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• pp.465-479
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• 2018

Purpose: This study examined the frequency of sugar-sweetened beverage consumption in Korean adolescents and the major factors influencing the excessive consumption of sugar-sweetened beverages, such as sociodemographic characteristics, health-related behaviors, psychological characteristics, and dietary habits. Methods: The analysis was performed using the data from the 2017 Korean Youth Risk Behavior Web-based Survey. The subjects included in the analysis were 30,885 middle school students and 31,391 high school students, totaling 62,276. The frequency of sugar-sweetened beverage consumption was calculated by summing the consumption frequencies of soda, high caffeine or energy drinks, and sweet beverages over the last 7 days. The Rao-Scott chi-square test, reflecting information on the sampling design, was used to test the differences in the rate of sugar-sweetened beverage consumption according to each factor. Logistic regression analysis was performed to examine the factors influencing the excessive consumption of sugar-sweetened beverages. Results: The rate of sweetened beverage consumption was higher in boys than in girls, in high school students than in middle school students, in students whose father's education level was lower, in those whose subjective academic performance was lower, and in those who smoked or consumed alcohol. In addition, the rate of sugar-sweetened beverage consumption was higher in those who experienced severe stress, suicidal ideation, sadness, or a sense of despair. The rate of sugar-sweetened beverage consumption was also high in those who skipped breakfast; who frequently consumed fast foods, ramen, or snacks; and who frequently ate meals at convenience stores, supermarkets, or school stores. Conclusion: The rate of sugar-sweetened beverage consumption in Korean adolescents is related to various factors, such as sociodemographic characteristics, health-related behaviors, psychological characteristics, and dietary habits.

• Journal of Radiation Protection and Research
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• v.33 no.4
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• pp.183-196
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• 2008

The internal dose by food consumption mostly accounts for radiological dose of public around nuclear power plants (NPPs). But, food consumption rates applied to off-site dose calculation in Korea which are the result of field investigation around Kori NPP by the KAERI (Korea Atomic Energy Research Institute) in 1988, are not able to reflect the latest dietary characteristics of Korean. The food consumption rates to be used for radiological dose assessment in Korea are based on the maximum individual of US NRC (Nuclear Regulatory Commssion) Regulatory Guide 1.109. However, the representative individual of the critical group is considered in the recent ICRP (International Commission on Radiological Protection) recommendation and European nations' practice. Therefore, the study on the re-establishment of the food consumption rates for individual around nuclear power plant sites in Korea was carried out to reflect on the recent change of the Korean dietary characteristics and to apply the representative individual of critical group to domestic regulations. The Ministry of Health and Welfare Affairs has investigated the food and nutrition of nations every 3 years based on the Law of National Health Improvement. The statistical data such as mean, standard deviation, various percentile values about food consumption rates to be used for the representative individual of the critical group were analyzed by using the raw data of the national food consumption survey in $2001{\sim}2002$. Also, the food consumption rates for maximum individual are re-estimated.

• IEMEK Journal of Embedded Systems and Applications
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• v.11 no.1
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• pp.1-8
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• 2016

We proposed a load unbalancing scheduling method for energy-efficient multi-core embedded systems considering DVFS (Dynamic Voltage/Frequency Scaling) power consumption and task characteristics. It is a new kind of scheduler which combines load balancing and load unbalancing technique. The purpose of the method is to effectively utilize energy without much effect in performance. In this paper, we conduct experiments on energy consumption and performance using the previous load balancing and unbalancing techniques and our proposed technique. The proposed technique reduced energy consumption more than 13.7% when compared to other algorithms. As a result, the proposed technique shows low energy consumption without much decline in the performance and is adequate for energy-efficient multi-core embedded systems.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.893-898
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• 2007

At present, one of the big characteristics in electric power market in korea is unique seller but in the near future competitions are expected in the market. so additional service for the electric power are expected. Also with development of IT technology, remote inspection for power usage are possible so as consumption pattern analysis. KORAIL is one of the biggest consumer in electric power market so it is necessary to investigate power consumption pattern. This paper presents electric load consumption pattern for representative substation like urban subway, high-speed train, industrial line and simulation program for electric power rate definition program based on billing system database. Base on the substation annual power usage DB data, the characteristic of the substation power consumption are investigated and effective electrical billing system are compared each other. Through this program it is verified that we can save more then several hundred million won for a year.

• Journal of IKEEE
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• v.22 no.3
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• pp.878-881
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• 2018

In this paper, experiments through performance evaluation under real operation environment were conducted. Transceiver and microcontroller shows the characteristics for the amount of current consumption and software protocol was optimized by controlling the time of Report Attribute and electric current level. To reduce current consumption when using battery, with designing transmission of the same amount of data as soon as possible, power consumption efficiency was enhanced.