• 한국정보시스템학회지:정보시스템연구
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• 제16권3호
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• pp.133-159
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• 2007

The primary purpose of this study is to examine the effects of perceived characteristics on user satisfaction and continuous usage intention in personal communities. We developed a research model based on the literature reviews of personal communities, TAM, perceived risks, and satisfaction. The research model includes perceived playfulness, perceived ease of use, perceived usefulness, and perceived risk as perceived characteristics in personal communities. For validation of this theoretical model, we survey the users of 'Mini-hompy', one of the most popular personal communities in Korea. The research model was empirically verified by structural equation model analysis with data collected from 407 samples. Analysis of the results indicates that perceived ease of use is positively related perceived playfulness and perceived usefulness. Perceived playfulness, perceived ease of use, and perceived risks are significantly related to satisfaction. User's satisfaction has positive relationship with continuous usage intention in personal communities.

• 산업경영시스템학회지
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• 제27권4호
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• pp.110-116
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• 2004

ABC analysis is the process of dividing inventory items into three classes according to their monetary usage so that managers can focus on items that have the highest monetary usage value, and has been widely used in practice since its development in 1950. However, the original criterion, monetary usage value, can no longer be the only rational criterion. Applying Analytic Hierarchy Process, we develop a new method to classify inventory items by considering such operationally/strategically important criteria as annual dollar usage, lead time, supplier's capacity, defective rate, difficulty of purchasing and unit price. A case study is performed applying the method to the field data from a company which produces electrochemical products.

• 한국환경보건학회지
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• 제47권3호
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• pp.279-291
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• 2021

Objectives: This study investigated the association between air pollutant levels and medical usage rates for environmental disease in a general residential area during the period 2015-2017. Methods: Air pollutant (PM₁₀, PM_2.5, SO₂, NO₂, CO, O₃) data were collected from Air-Korea. Medical usage data on environmental disease (asthma, allergic rhinitis, atopic dermatitis) for the period 2015-2017 in a general residential area in Gyeongsangnam-do Province were provided by the National Health Insurance Corporation. Pearson correlation analysis and multiple regression analysis were conducted to investigate the association between air pollutant levels and medical usage rates (SAS 9.4). In the multiple regression analysis, environmental disease was set as the dependent variable and air pollutants were set as independent variables and analyzed using the General Linear Model. Results: Except for PM_2.5, the average concentration of air pollutants in the surveyed area was below than the air environment standards of Korea. NO₂ was higher than Korea's national average, but CO was similar. The others were lower than the Korea's national average. The daily medical usage rates for environmental disease were 1.38‰ for asthma, 9.90‰ for allergic rhinitis, and 0.32‰ for atopic dermatitis. As a result of correlation analysis, PM₁₀ and SO₂, NO₂ and CO were significantly correlated with asthma, PM₁₀ and NO₂ and CO were correlated with allergic rhinitis, and PM₁₀ and PM_2.5, SO₂, NO₂ and CO were correlated with atopic dermatitis. As a result of multiple regression analysis, PM₁₀ and SO₂ were found to have a higher effect on asthma, PM₁₀ and NO₂ on allergic rhinitis, and SO₂ and NO₂ on atopic dermatitis, compared to other air pollutants. Conclusion: According to these results, air pollutants such as PM₁₀ and SO₂ and NO₂ were associated with the medical usage rates of environmental disease even in relatively low concentrations. Therefore, continuous monitoring will be required for general residential areas.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제22권6호
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• pp.253-267
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• 2016

세계 주요 도시는 대중교통이 가지고 있는 문제를 보완하기 위해 공공 대여 자전거 시스템을 운영하고 있다. 대전시에서 최근에 대여 이력 데이터를 공개하여 새로운 분석 가능성을 열었다. 본 연구는 시각화를 이용해서 데이터의 의미를 파악할 수 있는 분석 방법을 제안한다. 실험 결과 이용률에 따른 정류장의 위치적 특징을 발견하였고, 시간/요일/월에 따라서 달라지는 자전거 이용 패턴을 알 수 있었다. 한편 이동 경로 분석을 통해서 정류장간 이용 패턴을 발견하였으며, 각 정류장별 목적지 비율 분석을 통해 이용 목적을 파악할 수 있었다. 이러한 데이터를 기반으로 대전시 공공 대여 자전거 시스템 발전 방향을 제시한다.

• 상하수도학회지
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• 제28권5호
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• pp.509-516
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• 2014

This study describes a reasonable planning method for water meter replacement which can minimize the metering under-registration for an increasement of revenue water. The increment analysis of real water usage was used to establish a replacement plan. The meter replacement database collected from K City was used as the basis of this analysis. The database included 964 connections of domestic and non-domestic consumers that had their meter replaced by aging at 2011. The result showed that the corelation between unregistered water volume and water meter age was lower than commonly expected where the current criteria of replacement is only water meter age(8 years) excluding the meters older than 13 years. And in the analysis result of water usage for 8 years, the total amount and increment of water usage had a significant effect on unregistered water volume. However the relation was different tendency as a total volume and slope of increment. In case of total water volume was larger than 10,000, larger than 7,000 and increment of 0.0 ~ -0.3, larger than 6,000 and increment more than -0.3 were analysed to need a replacement because of metering under-registration.

• 한국식품조리과학회지
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• 제29권6호
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• pp.795-803
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• 2013

This study examined the usage, perception and willingness to use beef traceability. The data were collected from 255 housewives in Busan and Gyeongnam region through a self-administered questionnaire. Frequency, Cronbach's ${\alpha}$, t test, one-way ANOVA, Duncan's multiple range test, Pearson's correlation analysis, and multiple regression analysis were conducted by SPSS Windows V.20.0. Only twelve percent of the respondents experienced to use beef traceability. Most respondents checked it by kiosk or bar code reader in a store. On the other hand, eighty-eight percent did not use beef traceability. The reasons for not usage of it were "Do not know beef traceability very well", "Do not know how to use beef traceability", and "Information from packing or counters is reliable" in order. In the level of perception of beef traceability, safety assurance was highest, followed by information quality, usefulness, and information accessibility. The percentage of correct answers of knowledge about beef traceability was not high. The multiple regression analysis showed that employment status, knowledge about beef traceability, information quality, information accessibility, and usefulness were significant factors to affect the willingness using beef traceability.

• 한국CDE학회논문집
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• 제18권6호
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• pp.451-460
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• 2013

This paper presents the necessary elements and data flow in developing a monitoring system of energy usage for apartment houses with a Smart TV. Energy consumption data in each home are collected and analyzed in the HUB station by way of measuring instruments. And the amount of energy usage, such as electricity, gas, hot water, heating, water and other utilities are displayed through the Smart TV application. Energy consumption Database in the HUB station are processed and displayed in the browser of a Smart TV through XML, JAVASCRIPT and Flash. Smart TV users can get the energy consumption status through the energy consumption analysis display of the Smart TV application and improve the energy efficiency by comparing the usage patterns with neighboring houses. And the application display energy usage information, consumption ranking, rates to user as well. Furthermore, usage of last month or year can be compared to help to reduce the energy usage. The proposed system can provide the information about the amount of energy use to be reduced and the warning on the waste of energy.

• 한국빅데이터학회지
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• 제1권1호
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• pp.33-39
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• 2016

최근 스마트폰 사용 형태의 도움을 받아 사용자 특성을 예측하는 것은 매우 흥미롭고 주의를 사로잡는 연주 주제이다. 현재 몇몇 연구들은 사용자의 특성을 예측하기 위해 전화 사용 기록, 문자 메시지 사용 기록, 소셜 네트워크 서비스 사용 기록 등을 이용하고 있다. 이 논문에서, 우리는 MBTI 사용자 특성과 스마트폰 사용로그 간의 관계를 평가한다. 이를 위해, 스마트폰 사용 기록에서 부터 몇몇 특징들을 추출하고 이를 Naive Bayes와 SVM등의 분류기에 적용하여 사용자의 특성을 구분하였다. 사용자 특성 분석 결과의 분석을 통해 facebook사용 기록이 외향적인 사람과 내향적인 사람을 가장 잘 구분하는 것을 알 수 있었고, SVM 분류기가 Naive Bayes보다 사용자의 특성을 잘 예측하는 것을 확인하였다.

• 한국학교보건학회지
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• 제31권3호
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• pp.135-145
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• 2018

Purpose: The study aimed to investigate the factors associated with long hours of smartphone usage and to identify the characteristics of the high-risk group among female middle school students in South Korea. Methods: The study analyzed the data of 13,648 female middle school students using their own smartphone extracted from the 13th Youth Health Behavior Online Survey (2017). The factors related to using smartphones for a long time was analyzed by binomial logistic regression. The characteristics of the high-risk group was defined by a decision tree analysis. Results: The average hours spent on smartphone usage was 269.54 minutes per day. The significant factors associated with the long hours of smartphone usage were grade, living with parents, perceived household economic status, perceived academic achievement, stress, sadness and hopelessness, the main purpose of smartphone usage, drinking, body mass index, breakfast, and satisfaction with sleep quality. The subjects showing low academic performance and having breakfast four times a week or less were more likely to use their smartphone for a long time. Conclusion: Based on the results of the research, we need to establish intervention strategies focusing on the factors influencing long-time usage of smartphone. Particularly, the subjects who show poor academic performance and skip breakfast frequently should be considered as the high-risk group for spending long hours on smartphone usage.

• 한국주거학회논문집
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• 제13권3호
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• pp.103-113
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• 2002

The purpose of this study is to find out the characteristics of users'behavior for the planning of the shared community space(SCS). It was analyzed and estimated that the present status of the SCS of the contemporary multi-family housing sites in Korea and the residents'behavior in the SCS. Theoretic investigation and empirical research methods were used in this study. The empirical survey focused on seeking out user-oriented design criteria, based on the analysis of residents'usage behavior for the SCS. The analysis was made by both quantitative and qualitative methods. The results of this study are as follows; First, as to the usage status survey for the SCS, there is a difference in the degree of usage according to their locations. Second, as to the analysis of the SCS through a mental map, the sketch map analysis is found to be a useful research method for the SCS planning by actualizing the residents'behavior characteristics. In detail, the main characteristics in the SCS planning are nearness, centrality, intimacy, combination of facilities and the connection with the main paths of the complex.