• 제목/요약/키워드: Data Usage

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Avoidance Strategy Usage of English Articles

  • Lee, Eun-Hee
    • 영어어문교육
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    • 제16권3호
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    • pp.101-117
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    • 2010
  • This study examines whether English users at a U.S. university apply avoidance strategy in using English articles. All participants had learned English for at least 10 years and had used English for at least 15 years at the time of the data collection, so they made an ideal sample to examine the differences between native speakers of English and non-native speakers of English, in terms of avoidance strategy usage of English articles. To examine whether non-native speakers avoid using a certain feature when unsure of the correct usage, the mean differences of each article usage between NS and NNS groups were calculated and compared. On the basis of results showing that there are no statistically significant differences in terms of article usage between the groups, it is concluded that the highly advanced level participants did not use avoidance strategy in English articles, and that the type of English article and the task type did not affect learners' avoidance strategy usage. This research is expected to provide teachers and researchers with information about highly advanced level L2 language speakers' usage patterns with regards to avoidance strategy.

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웹 사용 마이닝에서의 데이터 수집 전략과 그 응용에 관한 연구 (Research on Data Acquisition Strategy and Its Application in Web Usage Mining)

  • 염종림;정석태
    • 한국정보전자통신기술학회논문지
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    • 제12권3호
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    • pp.231-241
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    • 2019
  • 웹 사용 마이닝 (WUM)은 웹 마이닝과 데이터 마이닝 기술의 응용 중의 하나다. 웹 마이닝 기술은 사용자가 웹 사이트에 액세스 할 때 웹 사용자가 생성 한 웹 서버 로그 데이터를 사용하여 사용자의 액세스 패턴을 식별하고 분석하는데 사용된다. 따라서 우선 데이터 마이닝 기술을 적용하여 웹 로그에서 사용자 액세스 패턴을 발견하기 전에 합리적인 방법으로 데이터를 수집해야 한다. 데이터 수집의 중요한 일은 사용자의 웹 사이트 방문 과정에서 사용자의 자세한 클릭 동작을 효율적으로 얻는 것이다. 이 논문은 주로 데이터 수집 전략 및 필드 추출 알고리즘과 같은 웹 사용 마이닝 데이터 프로세스의 첫 단계 이전의 데이터 수집 단계에 중점을 둔다. 필드 추출 알고리즘은 로그 파일에서 필드를 분리하는 프로세스를 수행하며 대용량의 사용자 데이터에 대한 실제 응용에도 사용된다.

의복착용상황의 유형에 관한 연구 (A Typology of Apparel Usage Situations Among Female Consumers)

  • 박은주;이은영
    • 한국의류학회지
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    • 제19권5호
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    • pp.713-722
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    • 1995
  • The purpose of the study is to investigate the types of apparel usage situations percieved by female consumers. Data (N=132) were collected via a questionnaire developed on the focused stoup interviews and previous studies. By multidimensional scaling (MDS) analysis, two dimensions of perceptual criteria on apparel usage situations are identified: formality, and normative aspects of apparel style. Results indicate that apparel usage situations perceived by female consumers can be classified into four major types: (1) Formal-Normative Situations, (2) Informal-Normative Situations, (3) Informal-Normless Situations, and (4) Formal-Normless Situations.

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하둡기반 빅데이터 시스템을 이용한 스마트그리드 전력데이터 분석 (Analyzing Smart Grid Energy Data using Hadoop Based Big Data System)

  • 조영탁;이원진;이인규;온병원;최중인
    • 전기학회논문지P
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    • 제64권2호
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    • pp.85-91
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    • 2015
  • With the increasing popularity of Smart Grid infrastructure, it is much easier to collect energy usage data using AMI (Advanced Measuring Instrument) from residential housing, buildings and factories. Several researches have been done to improve an energy efficiency by analyzing the collected energy usage data. However, it is not easy to store and analyze the energy data using a traditional relational database management system since the data size grows exponentially with an increasing popularity of Smart grid infrastructure. In this paper, we are proposing a Hadoop based Big data system to store and analyze energy usage data. Based on our limited experiments, Hadoop based energy data analysis is three times faster than that of a relational database management system based approach with the current system.

빌딩 및 일반 대수용가용 통합관리 시스템에 대한 적용사례 소개 및 전력사용 데이터 활용연구 (A Study of Electric Power Usage Data Utilization and Application regarding Consumer Portal System for Building and Large Consumers)

  • 최중인
    • 조명전기설비학회논문지
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    • 제25권12호
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    • pp.101-106
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    • 2011
  • An utilization of electricity usage measured data by region and time through the consumer portal system for building and large consumer are suggested. Electricity usage data by region and time can't be measured by traditional approach. A measured data from smart meters which are installed various regions can be utilized to set up a management of electricity peak demand.

RNN을 활용한 도시철도 역사 부하 패턴 추정 (Estimation of Electrical Loads Patterns by Usage in the Urban Railway Station by RNN)

  • 박종영
    • 전기학회논문지
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    • 제67권11호
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    • pp.1536-1541
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    • 2018
  • For effective electricity consumption in urban railway station such as peak load shaving, it is important to know each electrical load pattern by various usage. The total electricity consumption in the urban railway substation is already measured in Korea, but the electricity consumption for each usage is not measured. The author proposed the deep learning method to estimate the electrical load pattern for each usage in the urban railway substation with public data such as weather data. GRU (gated recurrent unit), a variation on the LSTM (long short-term memory), was used, which aims to solve the vanishing gradient problem of standard a RNN (recursive neural networks). The optimal model was found and the estimation results with that were assessed.

MDS 분석방법을 이용한 거실의 가구사용행태연구 (An Application of MDS(Multidimensional Scaling) Methods to the Study of Furniture Usage and Behavior in the Living Room)

  • 조성희
    • 한국주거학회논문집
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    • 제1권2호
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    • pp.1-11
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    • 1990
  • A study of domestic furniture arrangements may reveal the living style relevant to the room as conceived and coded by occupants and the effects of the physical environment on the structure of behavior settings. The purpose of this study was to investigate, through analizing the furniture usage and behavior as a non-reactive and activity oriented behavioral measures, the occupants` domestic habits as a living style using MDS. MDS(multidimensional scaling technique) is a statistical technique for creating a spatial representation of data. It Is a particularly appropriate technique for analizing qualitative data such as the furniture usage and behavior because it takes into account all of the relationships between items. For the MDS analysis, the furniture usage and behavior examined by housing types based on 114 households in Seoul. The result of spatial configuration by MDS has three dimensions : recogn;lion of room function, pattern of room organization, understanding of room meaning. The effect of housing types for dimensions is identical but configuration of furniture items is different.

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여대생의 향수 소비행동에 관한 연구 -향수 사용도에 따른 소비자집단별 특성을 중심으로- (Perfume Consumption Behaviors of Female College Students - Based on the frequency of perfume usage -)

  • 이경화;류은정;김경화
    • 복식
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    • 제50권6호
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    • pp.143-153
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    • 2000
  • The purpose of this study was to find out the relationship among the frequency of perfume usage and perfume attitude. perfume consuming behaviors and demographies. The data were collected from 352 female college students using questionnaire. Three groups including Large amount users(30.1%), Medium amount users(33.8%), and Small amount users(36.1%) were identified by the frequency of perfume usage. The results were summarized as follows : 1. There were significant differences on perfume attitudes and perfume consuming behaviors among the three groups. The more they use perfume, the more they feel pleasure and self-confidence. Most subjects preferred overseas prestige and popular perfume. And they obtained perfume informations through magazine ads and article. 2. There were significant differences demographic characteristics among the three groups. The older and the higher social status frequently used perfume. This study will provide useful marketing data and implications for activation of domestic perfume market.

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What makes University Students to continuously use Cloud Services? - Enjoyment and Social Influence

  • Lee, Jong Man;Lee, Sang Jong
    • 한국컴퓨터정보학회논문지
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    • 제23권1호
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    • pp.123-129
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    • 2018
  • The purpose of this paper is to investigate the influence of utilitarian, hedonic and social motivations on continuance intention to use cloud services. To do this, this study built a research model and examined how ease of use, usefulness, enjoyment, social influence affect the continuance usage intention of cloud services. The survey method was used for this paper, and data from a total of 82 university students were used for the analysis. And structural equation model was used to analyze the data. The results of this empirical study is summarized as followings. First, enjoyment has a direct effect on the continuance usage intention of cloud services. Second, social influence has a direct effect on the continuance usage intention. Further, it will provide meaning suggestion point of the importance of not only utilitarian motivation but also hedonic and social motivations in establishing the use policy of cloud services.

E-resources usage among Polytechnic students in Southwest Nigeria: evidence from Federal Polytechnic, Ede and The Polytechnic, Ibadan Nigeria

  • Alasa, Sekinat Abiodun;Quadri, Ganiyu Oluwaseyi
    • International Journal of Knowledge Content Development & Technology
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    • 제12권1호
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    • pp.49-65
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    • 2022
  • This study examined e-resources usage among polytechnic students in Southwest Nigeria. A descriptive research design was adopted for this study and the population consisted of polytechnic students from The Polytechnic, Ibadan and Federal Polytechnic, Ede. There were 9671 students from both polytechnics. A multi-stage sampling technique was employed with a sample fraction of 5% was drawn from the total number of students in each faculty amounting to 381. A structured questionnaire was the major instrument used for data collection and the questionnaire was pre-tested using Cronbach-alpha to determine the reliability co-efficient. Data obtained was analyzed using SPSS. The study found that the students from both polytechnics are aware of the e-resources and that the e-resources were mainly used for research, class assignment and to update knowledge. The problem such as epileptic power supply, poor internet connection and so on was identified. The study concluded that polytechnic students could benefit immensely from the enormous usage of e-resources particularly for teaching, learning and research. Based on the findings, recommendations were made.