• Journal of the Korean Society of Environmental Restoration Technology
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• v.10 no.2
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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.

• Journal of Information Science Theory and Practice
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• v.7 no.4
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• pp.33-44
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• 2019

Altmetrics measure the frequency of references about an article on social media platforms, like Twitter. This paper studies a variety of factors that affect the popularity of articles (i.e., the number of article mentions) in the field of psychology on Twitter. Firstly, in this study, we classify Twitter users mentioning research articles as academic versus non-academic users and experts versus non-experts, using a machine learning approach. Then we build a negative binomial regression model with the number of Twitter mentions of an article as a dependant variable, and nine Twitter related factors (the number of followers, number of friends, number of status, number of lists, number of favourites, number of retweets, number of likes, ratio of academic users, and ratio of expert users) and seven article related factors (the number of authors, title length, abstract length, abstract readability, number of institutions, citation count, and availability of research funding) as independent variables. From our findings, if a research article is mentioned by Twitter users with a greater number of friends, status, favourites, and lists, by tweets with a large number of retweets and likes, and largely by Twitter users with academic and expertise knowledge on the field of psychology, the article gains more Twitter mentions. In addition, articles with a greater number of authors, title length, abstract length, and citation count, and articles with research funding get more attention from Twitter users.

• Journal of information and communication convergence engineering
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• v.10 no.2
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• pp.135-140
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• 2012

Massive numbers of users of social networks share various types of information such as opinions, news, and ideas in real time. As a new form of social network, Twitter is a particularly useful information source. Studying influence can help us better understand the role of social networks. The popularity of social networks like Twitter is primarily measured by the number of followers. The number of followers in Twitter and the number of users exposed to news media are important factors in measuring influence. We chose Twitter and the New York Times as representative media to analyze the influence and present an empirical analysis of these datasets. When the correlation between the number of followers in Twitter and the number of users exposed to the New York Times is computed, the result is moderately high. The correlation between the number of users exposed to the New York Times and the number of sections including the users on it, was found to be very high. We measure the normalized influence score using our proposed expression based on the two correlation coefficients.

• Journal of the Korean Society for information Management
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• v.26 no.4
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• pp.129-146
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• 2009

The purpose of this study is to comprehensively analyze which kind of factors have an effect on the number of users in the public libraries. For this, this study analyzed various factors, such as personnel, collection, budget, event, influenced on the number of their users of 55 public libraries in Seoul. The results of this study indicated that the number of users in the public libraries is influenced by the number of their seat, librarian, the building size and the number of librarian. Besides, the result of multiple regression analysis to verify these regression models was revealed that the factor influenced on the number of users of public libraries is only the number of seat. The result of this study is expected to practically use in establishing the plan to increase the number of their users in public libraries.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.6
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• pp.2581-2594
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• 2018

The microcell terrain is the most common wireless network terrain in our life. In order to solve wireless network optimization of weak coverage in the microcell terrain, improve call quality and reduce the cost of the premise, power amplifiers in base stations should be adjusted according to user volume. In this paper, characteristics of microcell topography are obtained after analysis. According to the topography characteristics of different microcells, changes in the number of users at different times have been estimated, meanwhile, the number of scatter users are also obtained by monitoring the PCCPCH RSCP and other parameters. Then B-Spline interpolation method has been applied to scatter users to obtain the continuous relationship between the number of users and time. On this basis, power amplification can be chosen according to changes in the number of users. The methods adopted by this paper are also applied in the engineering practice, sampling and interpolation are used to obtain the number of users at all times, so that the power amplification can be adjusted by the number of users in a microcell. Such a method is able to optimize wireless network and achieve a goal of expanding the area of base stations, reduce call drop rate and increase capacity.

• Korean System Dynamics Review
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• v.16 no.3
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• pp.77-96
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• 2015

This study aims to forecast of the number of smart phone addicted youths and to evaluate the effect of rehabilitation programs. A system dynamics model is developed to describe the processes of addiction and transits between phases as well as the diffusion of smart phones. The youths are grouped into non users, general users, potential risky users, and high risky users. The model utilizes the population distributions over ages for the next 30 years forecasted by Korean Government. The number of youths decreases for the next decade or so, and the number of youths who owns smart phone will reach maximum at 2017. As for the rehabilitation programs, the model includes the preventive education for general users, counseling for potential risky users, and professional therapy for high risky users. The preventive education restricts the transit from general users to potential risky users. Counseling increases the transit from potential risky users to general users while it decreases the transit to high risky users. Professional therapy improves transit to potential risky users and to general users. Although the model cannot be validated the accuracy owing to the lack of data, it describes these transit within the reasonable ranges and can be used to study the allocation of the limited resources to maximize the outcome.

• Journal of Communications and Networks
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• v.15 no.4
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• pp.362-369
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• 2013

The optimal number of users achieving the maximum sum throughput is analyzed in zero-forcing (ZF) based multiuser multiple-input multiple-output (MIMO) systems with a large number of base station (BS) antennas. By utilizing deterministic ergodic sum rates for the ZF-beam forming (ZF-BF) and ZF-receiver (ZF-R) with a large number of BS antennas [1], [2], we can obtain the ergodic sum throughputs for the ZF-BF and ZF-R for the uplink and downlink frame structures, respectively. Then, we can also formulate and solve the optimization problems maximizing the ergodic sum throughputs with respect to the number of users. This paper shows that the approximate downlink sum throughput for the ZF-BF is a concave function and the approximate uplink sum throughput for the ZF-R is also a concave function in a feasible range with respect to the number of users. The simulation results verify the analyses and show that the derived numbers of users provide the maximum sum throughputs for the ZF-BF as well as ZF-R in multiuser MIMO systems with a large number of BS antennas.

• International Journal of Contents
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• v.11 no.4
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• pp.38-43
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• 2015

Non-orthogonal multiple access (NOMA) where all users share the entire time and frequency resource has paid attention as one of the key technologies to enhance the spectral efficiency and the total throughput. Nevertheless, as the number of users and SIC error increase, the inter-user interference and the residual interference due to the SIC error also increase, resulting in performance degradation. In order to mitigate the performance degradation, we propose grouping-based NOMA system. In the proposed scheme, all users are divided into two groups based on the distance between the BS and each user, where one utilizes the first half of the bandwidth and the other utilizes the rest in the orthogonal manner. On the other hand, users in each group share the spectrum in the non-orthogonal manner. Grouping users can reduce both the inter-user interference and residual interference due to the SIC error, so it can outperform conventional NOMA system, especially in case that the number of users and the SIC error increase. Based on that, we also present the hybrid operation of the conventional and the proposed NOMA systems. In numerical results, the total throughput of the proposed NOMA systems is compared with that of the conventional NOMA systems with regard to the number of users and SIC error. It is confirmed that the proposed NOMA system outperforms the conventional NOMA system as the number of users and the SIC error increase.

• Journal of the Korean Regional Science Association
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• v.37 no.2
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• pp.17-33
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• 2021

This study empirically analyzes the effect of the spread of COVID-19 and the implementation of social distancing on the number of park users. To this end, we analyzed the time series data on the number of users and the COVID-19 outbreak at Olympic Park, a large-scale comprehensive urban park located in Songpa-gu, Seoul, and four neighborhood parks in the same municipality. And this was compared with the effect on the change in the number of users around Jamsil Lotte World, a representative indoor complex leisure space in Seoul. The analysis results are as follows: First, in small neighborhood parks located in residential areas, the number of users increased by 3 to 6% on average due to the implementation of the social distancing measures and the increase in the number of confirmed COVID-19 cases. In particular, it was found that changes in park use were sensitive to the increase in the intensity of social distancing. On the other hand, the number of users around Jamsil Lotte World decreased by 38% on average, and in the case of Olympic Park, the number of users decreased by 1.9% on average due to the spread of COVID-19. Considering that the number of the vehicle users representing remote users of Olympic Park has decreased by 23% on average, it is estimated that there is little change in the number of users in the surrounding areas. This suggests that urban parks, especially neighborhood parks in residential areas, play a role as a major refuge and leisure space for urban people in the event of a pandemic disaster such as COVID-19, and therefore need to be properly supplied and maintained.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.8
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• pp.724-732
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• 2013

In this paper, we analyze a performance of multiuser massive multiple-input and multiple-output (MIMO) system. We derive the ergodic cell capacity based on a downlink frame structure and analyze the ergodic cell capacity with respect to the number of base station (BS) antennas and the number of users. This paper shows that the ergodic cell capacity is a concave function with respect to the number of BS antennas and the number of users, and also derives the optimal numbers of BS antennas and users for the maximum cell capacity. The simulation results verify the derived analyses and show that the derived numbers of BS antennas and users provide the maximum cell capacity.