• Title/Summary/Keyword: Number of users

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Effects of Visiting Nursing Services in Long-term Care Insurance on Utilization of Health Care (노인장기요양보험의 방문간호 서비스가 의료이용에 미치는 효과)

  • Lee, Sangjin;Kwak, Chanyeong
    • Research in Community and Public Health Nursing
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    • v.27 no.3
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    • pp.272-283
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    • 2016
  • Purpose: This is a comparative study using secondary data from the Korean national long term care (LTC) insurance. Methods: Visiting nursing (VN) service users (n=666) and non-users (n=4,375) were extracted and compared in terms of medical expenditures, length of hospitalization, and annual number of ambulatory care visits to investigate effects of VN services in LTC. Results: Total health care expenditures were compared between the two groups and it was found that VN service users spent about $ 1700 than non-users for their medical costs between 2009 and 2011. The average length of in-hospital stay for VN service users was 19.4 days shorter than that of non-users. However, using VN services did not significantly influence the annual number of ambulatory care visits. Conclusion: The study has found that VN services are effective ways of providing community-based LTC services. We recommend LTC policy makers to further utilize VN services to deliver cost effective health care services.

User Clustering Scheme for Downlink of NOMA System

  • Li, Li;Feng, Zhenghui;Tang, Yanzhi;Peng, Zhangjie;Wang, Lisen;Shao, Weilu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.3
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    • pp.1363-1376
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    • 2020
  • An improved clustering scheme based on user group is proposed. Every two users are grouped among N-users in the allowed system according to their link gain from large to small. Each user group is numbered sequentially. Two user clusters are obtained according to the principle of maximizing link gain difference for the users in the first and last user groups. The remaining user groups are added to the two existing user clusters according to the parity of the group number. The clustering should be clustered again among the users in either user cluster if the throughput summation of a user cluster in NOMA is less than that of these users in orthogonal multiple access. The simulation results show that the proposed clustering scheme can increase the system throughput by about 8% compared with the hybrid clustering scheme when the number of users requiring service is 12.

Internet Addiction among youths and related variables (청소년의 인터넷 중독과 영향요인)

  • 진연주;김혜연
    • Journal of Family Resource Management and Policy Review
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    • v.7 no.1
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    • pp.103-118
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    • 2003
  • This study is aimed to investigate Internet Addiction among youths who are main users of computers and internet and related variables. The survey was conducted to 520 students from middle and high schools on Jeju and analyzed catmod Regression. model was used to analyse the efficients of the independent variables on the three groups according to Internet addiction level. The major results of this study are as follows; First, By the viewpoint of Young's criteria, it revealed that most young people(68.5 %) use the internet at the level of occasional problem-solution users. The percentage two groups of average on-line users and internet addicts were 27.3% and 4.2%, respectively. Second, the variables having significant effects on the of internet addiction group are gender, the number of brothers, adaptation to school life, mother's age, and family control of internet use. Third, the variables which have a significant effect on the of average internet users group referred to internet addicts group are gender, adaptation to school life, satisfaction with family life, average monthly household income, and the number of visits to private computer establishments.

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A study on finding influential twitter users by clustering and ranking techniques (클러스터링 및 랭킹 기법을 활용한 트위터 인플루엔셜 추출 연구)

  • Choi, Jun-Il;Chang, Joong-Hyuk
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.1
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    • pp.19-26
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    • 2015
  • Recently, a lot of users are using social network services as the spread of SNS and generalization of smart-phone. In this study, we apply clustering and ranking method for finding twitter influential users. First, we propose five ranking elements. The five elements include the number of follow, the number of retweet, IRP, IFP and influ-score. These elements are used by centroid point of clustering methods. This study can help to find novel approaches for finding twitter influential users.

Performance of DF Protocol for Distributed Cooperative Spectrum Sensing in Cognitive Radio

  • Zou, Mingrui;Bae, Sang-Jun;Kwak, Kyung-Sup
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.2A
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    • pp.124-131
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    • 2009
  • Cognitive radio has been proposed to mitigate the spectrum scarcity problem by allowing the secondary users to access the under-utilized frequency bands and opportunistically transmit. Spectrum sensing, as a key technology in cognitive radio, is required to reliably detect the presence of primary users to avoid the harmful interference. However, it would be very hard to reliably detect the presence of primary users due to the channel fading, shadowing. In this paper, we proposed a distributed cooperative spectrum sensing scheme based on conventional DF (decode-and-forward) cooperative diversity protocol. We fist consider the cooperation between two secondary users to illustrate that cooperation among secondary users can obviously increase the detection performance. We then compare the performance of DF based scheme with another conventional AF (amplify-and-forward) protocol based scheme. And it is found that the proposed scheme based on DF has a better detection performance than the one based on AF. After that, we extend the number of cooperative secondary users, and demonstrate that increasing the cooperation number can significantly improve the detection performance.

Evaluation of the Present Managerial Conditions Based on the Established Social and Ecological Impact Standards and Some Suggestions (무등산 도립공원의 사회.생태적 평가기준에 의한 현 진영상태의 평가와 관리방안)

  • 김상오;오광인
    • Journal of the Korean Institute of Landscape Architecture
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    • v.25 no.4
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    • pp.107-122
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    • 1998
  • Visitor Impact Management (VIM) framework was developed in the United States to help recreation resources management to be more systematic and effective. It consists of a series of steps from examining problems and their causes to planning and implementing management strategies in order to solve the problems. This study was conducted to find management problems in Moodeung-san Provincial Park and suggest some alternatives based on VIM framework. Data were collected by on-site survey and a mail-back questionnaire in August of 1996 in Moodeung-san Provincial Park. Out of 1173, 519 respondents (44.2%) were used for the study. According to the study results, there were differences between users' perceptions about the present use of the park and the users' personal norms about the use of the park. That is, while 46% of the respondents considered the park should be used as 'the place for calm and meditiation,' only 19% of the respondents considered the park had been used as 'the place for calm and meditation.' Three social indicators (the number of users, the number of seeing others' inconsiderate behaviors, and the crime) and four ecological indicators (littering, human waste, trail conditions, and water quality of Moodeung-san valleys) were selected for the major managerial indicators of the study area. Generally, five out of 7 selected indicators were in worse conditions than the evaluative standards, Five indicators which were evaluated as in worse conditions include two social indicators (the number of users and the number of seeing others' inconsiderate behaviors) and three ecological indicators (littering, human waste and trail conditions). Two other indicators such as water quality of Moodeung-san valley and the crime were identified to be important for users' recreational experience. More concerns and systematic investigations on these indicators are needed. This study discussed some management strategies to solve the identified problems, and introduced how mangers may make use of these information for recreation resource menagement in the park.

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Features and Tendencies of the Digital Marketing Use in the Activation of the International Business Activity

  • Zhygalkevych, Zhanna;Zalizniuk, Viktoriia;Smerichevskyi, Serhii;Zabashtanska, Tetiana;Zatsarynin, Serhii;Tulchynskiy, Rostislav
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.77-84
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    • 2022
  • The study highlights the features and trends of digital marketing for international business. To achieve these goals, the authors used a systematic approach that allows a comprehensive approach to the object of study, as well as used general and specific methods of scientific knowledge on the application of digital marketing for international business. The dynamics of the number of users of social networks in the world is analyzed, which allowed us to conclude about the steady trend of increasing the number of users of the Internet and social networks, as well as the time spent by users on social networks. The study of the dynamics of the number of users of social networks provides increased efficiency in the use of digital marketing tools to enhance international business. The most effective digital marketing tools for international business, including artificial intelligence, conversational marketing, chatbots, personalization, video marketing, live shopping, social media stories, interactive content, omnic marketing, augmented reality and technology immersion, native advertising, green marketing and mobile commerce.

Beamforming Matrix Transformation and User Scheduling for MIMO Systems (다중 안테나 빔형성 메트릭스 변환 기법 및 사용자 선택 기법)

  • Park, Jong-Rok;Lee, Sang-Hoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.1A
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    • pp.25-33
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    • 2012
  • Random beamforming (RBF) uses the signal to interference plus noise ratio (SINR) feedback to select users in multiple-input multiple-output (MIMO) systems. A large number of users are required to obtain the gain of multi-user diversity for a downlink transmission. However, if the number is not large enough, it may be difficult to obtain multi-user diversity, leading to a rapid degradation in performance. To resolve this problem, we propose the beamforming matrix transformation and the user scheduling method. The beamforming matrix transformation scheme uses the SINRs of each users and have a better performance than conventional schemes over a small number of users. In addition, we propose the user scheduling scheme corresponding to the beamforming matrix transformation. In simulation results, we demonstrate that the sum-rate can be improved according to the number of users.

Improving Twitter Search Function Using Twitter API (트위터 API를 활용한 트위터 검색 기능 개선)

  • Nam, Yong-Wook;Kim, Yong-Hyuk
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.3
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    • pp.879-886
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    • 2018
  • The basic search engine on Twitter shows not only tweets that contain search keywords, but also all articles written by users with nicknames containing search keywords. Since the tweets unrelated to the search keyword are exposed as search results, it is inconvenient to many users who want to search only tweets that include the keyword. To solve this inconvenience, this study improved the search function of Twitter by developing an algorithm that searches only tweets that contain search keywords. The improved functionality is implemented as a Web service using ASP.NET MVC5 and is available to many users. We used a powerful collection method in C# to retrieve the results of an object, and it was also possible to output them according to the number of 'retweets' or 'favorites'. If the number of retrieved numbers is less than a given number, we also added an exclusion filter function. Thus, sorting search results by the number of retweets or favorites, user can quickly search for opinions that are of interest to many users. It is expected that many users and data analysts will find the developed function convenient to search on Twitter.

Studies on the Structure of Plant Community and Visitor's Activities in Mt. Naejang National Park(II) -User's Impact and Activity- (내장산국립공원(內藏山國立公園)의 식물군집(植物群集) 및 이용행태(利用行態)에 관한 연구(硏究)(II) -이용객(利用客) 영향(影響) 및 행태(行態)-)

  • Lee, Kyong Jae;Oh, Koo Kyoon;Jo, Jae Chang
    • Journal of Korean Society of Forest Science
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    • v.77 no.4
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    • pp.401-413
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    • 1988
  • To investigate the users' activity, impact and psychology in Naejang Temple district at Mt. Naejang National Park in Korea, users' density and questionnaire survey at three major picnic areas and passenger counting at major pass were executed and environmental impacton on the site was surveyed. The total number of visitors showed stability at the level of one million persons every year after 1984. Users' impact was much severe along the main trail, the upper cablecar station and the slope from the observatory to Keumsun Valley, The maximum momentary number of users was estimated as 53,000 persons in autumn. Approximately 20% of the total number of visitor used Keumsun Valley and Weonjeok Valley area and 80% of visitors left after using only grassland and cablecar. The visitors' characteristics was similiar to the type of long-distanced national park and the main visiting purpose was to see autumn leaves. The psychological satisfaction did not very significantly as to increasing user's speace. As a result of varimax rotated factor analysis, the 1st factor, most affecting users' psychological satisfaction, was related to landscape and consisted of nature disturbance, crowdedness, noisiness, cleanness, in order of importance. The 2nd factor was related to facilities and consisted of number of toilet, number of waste-baskets, amount of drinking water, safety, in order of importance.

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