• 디지털산업정보학회논문지
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• 제9권2호
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• pp.23-32
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• 2013

The purpose of this study is to make effective mobile grid considered general environment, which can be summarized as irregular mobility, service exploration, data sharing, variety of machines, limit to the battery duration, etc. The data was extracted from the Dartmouth College. We analysed mobile use pattern of a specific group and applied pattern using hybrid method. As a result, we could adjust infra usage effectively and appropriately and cost cutting and increase satisfaction of user. In this study, by applying weighting method based on access time interval, we analysed use pattern added time variation with association rule during users in mobile grid environment. We proposed more stable way to manage patterns in a mobile grid environment that is being used as a hybrid form to process the data value received from the server in real time. Further studies are needed to get appropriate use pattern by group using use patterns of various groups.

• 대한가정학회지
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• 제32권1호
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• pp.31-46
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• 1994

the purpose of this study is to investigate (1) the real life of urban employed husbands and their wives(2) the balance between labor force reproduction and the labor force consumption(3) and the share of family responsibility by analysis patterns of their time use. Data for 227 couples were gatherd from using structured questionnaire and time diary. (1) Because of Husbands' long labor time and employed wives' roleoverload their social-cultural time is too short which means the pattern of their time use are very unbalanced type. (2) Regardless of wives' employment status husbands' housework time is too short which means that family responsibility is scarcely shared.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.559-563
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• 2015

Identification of energy use patterns in buildings has a great opportunity for energy saving. To find what energy use patterns exist, clustering analysis has been commonly used such as K-means and hierarchical clustering method. In case of high dimensional data such as energy use time-series, data reduction should be considered to avoid the curse of dimensionality. Principle Component Analysis, Autocorrelation Function, Discrete Fourier Transform and Discrete Wavelet Transform have been widely used to map the original data into the lower dimensional spaces. However, there still remains an ongoing issue since the performance of clustering analysis is dependent on data type, purpose and application. Therefore, we need to understand which data reduction techniques are suitable for energy use management. This research aims find the best clustering method using energy use data obtained from Seoul National University campus. The results of this research show that most experiments with data reduction techniques have a better performance. Also, the results obtained helps facility managers optimally control energy systems such as HVAC to reduce energy use in buildings.

• 한국농촌생활과학회지
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• 제7권1호
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• pp.81-97
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• 1996

The purpose of this study was to analyze the structure of time use by housewives in rural households, and to compare the time use structure of housewives with that of their husbands. To attain this goals, we have selected 108 farmhouses considering agricultural area and size in L993. Data was collected by observing how (i. e., doing what kinds of work) housewives and husbands spend time, Time use was divided into four categories : physiological time, socio-cultural time, household work time and agricultural labor time. The results in this study present a valuable insight to assuage the overloaded works of rural housewives. The major results can be outlined as follows : 1. Rural housewives worked 1.2 times longer hours a day than their husbands did. 2, There existed a severe labour time imbalance between housewives and husbands during the busy farming season. 3. The time use patterns of housewives and husbands were significantly different across agricultural areas. Also, the education level of a housewife was associated with the length of her labor time.

• 한국환경복원기술학회지
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• 제10권2호
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• pp.71-83
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• 2007

This study aims to provide basic data for planning the supply and demand of urban parks and setting up facilities in urban parks that reflect the use patterns of visitors. The study was conducted by surveying the total number of urban park users and the number of users for different time zones and analyzing their use patterns through on-site surveys at 17 urban parks located in seven cities/counties in Gyeonggi province. The result showed that as for distribution of urban park users by time zone, the number of users was highest in the afternoon. Between 7 and 9 o'clock in the morning in weekdays, many users came to urban parks for their morning exercises. There was hardly no difference between male and female. When the number of users of 17 urban parks was surveyed, a park was used by 734 people per day on weekdays in average. When the total number of users per year was estimated, a resident nearby a park visited the place 4.7 times a year in average. In addition, the analysis showed that the number of users of man-made parks was twice as high as that of natural parks. The number of users did not vary depending on the size of a park. As for use patterns by time zone, no difference was found in activity types between parks larger than 100,000 $m^2$ and those less than 100,000 $m^2$. Usually, in the morning, users came for exercises In the afternoon, users visited the parks for more diverse purposes. In the evening, they tended to visit parks to work out and wrap up a day. Going forward, the outcome of this study should be utilized as important data for analyzing the demand and supply of urban parks. In addition, the number of users by time zone and their use patterns should be fully considered when introducing facilities in parks.

• 가족자원경영과 정책
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• 제11권2호
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• pp.111-132
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• 2007

The purposes of this study are to analyze the time use patterns of rice and barley for farm couples. The data used for this study were collected from farm households during the farming seasons (17th to 30th June) and the off-farming seasons (28th November to 11th December) of 2005, using a time diary. The sample for this study consisted of 118 couples, whose principal crops were rice and barley, living in rural area in eight provinces. SPSS Win 12.0 was utilized to analyze the data. The statistical methods used were frequency, percentage and paired t-test. The major findings of this study were as follows. First, the personal care time of wives was shorter than that of husbands, regardless of the fanning period, with the couples showing more personal care time during the off-farming season than during the farming season. Secondly, the total work(paid work plus housework) time of wives was longer than that of husbands during both the farming season and the off-farming season, showing that the labor burden of wives was bigger than that of husbands. Compared to the farming season, the total work time for both husbands and wives was shorter during the off-farming season, due to reduced farm work time, but the housework time increased for both husbands and wives. Thirdly, the leisure time of husbands was longer than that of wives during both seasons. The leisure time increased for both husbands and wives during the off-farming season, but the portion of the increase was bigger for husbands than for wives.

• 대한가정학회지
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• 제42권10호
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• pp.173-188
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• 2004

Concerning the actual characteristics of Italian men's fashion design, the following conclusions can be obtained from an analysis of the works of Gianni Versace. First, regarding the use of patterns, existing patterns are enlarged, reduced, and transformed. Second, chosen patterns are closely examined and analysed before actual use. Third, the transfusion of unexpected patterns can be seen as the shapes of various combinations. Fourth, inspired patterns from art works or based on some exotic mood are also devised and used. Last, the selected patterns are used in an items of outerwear and innerwear. Furthermore, once a pattern is chosen, it is coordinated at the same time with a complete outfit of shirts, pants, suits, etc.

• 대한수학회보
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• 제52권4호
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• pp.1113-1122
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• 2015

This paper is concerned with the pattern formation of a diffusive predator-prey model with two time delays. Based upon an analysis of Hopf bifurcation, we demonstrate that time delays can induce spatial patterns under some conditions. Moreover, by use of a series of numerical simulations, we show that the type of spatial patterns is the spiral wave. Finally, we demonstrate that the spiral wave is asymptotically stable.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 1991년도 제3회 한글 및 한국어정보처리 학술대회
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• pp.196-208
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• 1991

This study focused on the role of prefabricated speech (routines and patterns) in the L2 acquisition process. The data for this study consisted of spontaneous speech samples and various observational records of three Korean children learning English as L2 in a nursery school. The specific questions addressed here were: (1) What routines, patterns, and creative constructions did the children use? (2) What was the general trend in the three children's use of routines, patterns, and creative constructions over time? The data were collected over a period of one school year by observing the children in their school. The findings were discussed from the perspective of human information processing. This study found that prefabricated speech played a significant role in the three children's L2 acquisition. The automatic processing of prefabricated speech appeared to enable the children to reduce the burden on their information processing systems, which allowed the saved resources available for other language development activities. Also, the children's language development was evident in their increase in the use of patterns. The children were moving from heavy dependence on wholly unanalyzed routines to increased use of partly unanalyzed patterns. This increased control was the result of an increase in procedural knowledge.

• Journal of Computing Science and Engineering
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• 제5권4호
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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.