• Journal of Industrial Technology
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• v.30 no.B
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• pp.49-54
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• 2010

E-learning has the potentials to provide educational publicity and equality, and has been deployed rapidly in many areas of our society. Growth of e-learning market is also rapid and sustained. However, for e-learning to be a good solution, enough contents should be provided, for which sharing limited contents in the early deployment stage should be necessary. In this paper, we survey some activities about contents sharing. On the other hand, there have been many complaint from e-learning about its effectiveness. Therefore, in this paper, based on the poll results on concentration and satisfaction of e-learning, we also study practical ways to improve studying efficiency of e-learners.

• Asian Journal for Public Opinion Research
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• v.5 no.1
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• pp.15-40
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• 2017

This paper addresses the zero-sum of soft power against the backdrop of the rise of China and the relative "decline" of America. It attempts to find out that whether the "decline" of America's soft power is caused by the rise of China's soft power, and whether China's rise could guarantee with certainty the growth of soft power. In light of the particularity of South Korea, that is, its economy relies on China and its security relies on the US, this paper chooses South Korea as the entry point for the study. Based on the Pew data from a South Korean opinion poll, this paper conducts bivariate correlation and binary logistic regression respectively, to explore the existence of zero-sum "competitions" between China's and America's soft power.

• Communications for Statistical Applications and Methods
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• v.9 no.1
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• pp.39-51
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• 2002

In this paper, we propose a poll system on the interned. This poll system makes use of APM which are useful in web and PC using for a server. These tools are all free to obtain, so we can construct this system with the minimum computing environment and the minimum cost. We mention merits and demerits about interned survey and propose how to overcome using this system, and utilize web log data to get an additional information of panel. Finally, we suggest extensibilities of internet survey and the proposed system

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.850-852
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• 2004

이동 통신 기술의 발달과 휴대 단말기 등의 진화에 따라 위치기반 서비스(LBS)가 인터넷을 통해 가장 성장성이 높은 새로운 서비스 분야로 자리 잡고 있다. 하지만 LBS 핵심 기반 기술의 성장에 비해 그와 관련된 응용 서비스 및 콘텐츠의 개발 사례는 미비한 상태여서 LBS 산업의 활성화와 균형 있는 발전이 이뤄지지 못하고 있는 실정이다. 이에 본 논문에서는 특화된 무선 설문을 제공하는 새로운 LBS 기반 응용 서비스를 제시하고, 응용 서비스의 이동통신사 간 다양한 휴대 단말기의 지원과 호환을 위하여 무선 인터넷 표준 플랫폼 WIPI를 활용한 시스템을 제안하다. 제안된 시스템은 설문양식과 사용자를 관리하는 서버와 사용자 단말 클라이언트 어플리케이션으로 구성되며 LBS와 연동하여 특정 지역에 맞는 특화된 설문을 제공한다.

• 한국정보통신설비학회:학술대회논문집
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• 2008.08a
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• pp.249-252
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• 2008

This paper presents a new dynamically adaptable polling scheme for efficient support of real-time traffic over an IEEE 802.11 wireless LAN network. The poll scheduling plays an important role in IEEE 802.11 PCF. However, the current version of the polling list management scheme proposed in the IEEE802.11 standard is inefficient when a variable number of mobile stations have variable packets to transmit. If Point Coordinator has an exact information on the station status, it is possible to efficiently perform polling. In this thesis, we suggest an adaptable polling scheme to meet requirements of the stations. In our scheme, each station transmits packets including a piggyback information to inform that it wants to receive a poll in the next polling duration. Simulation results indicate that our scheme may reduces the packet discard ratio and real-time packet transfer delay.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2006.04a
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• pp.241-242
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• 2006

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.8
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• pp.679-686
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• 2013

Power efficiency becomes more important in wireless LANs as the mobile stations send more data with limited batteries. It has been known that the IEEE 802.11 PSM is not efficient in high load networks: AP cannot deliver buffered packets to a PS station immediately and it can lead the station to stay in active state quite long and result in energy waste. Moreover, it is inefficient that only one data frame is retrieved by a PS-POLL frame. In this paper, we propose a time slotted scheme to enhance the PSM, in which a mobile station can reserve time slots to receive data frames. Our mechanism can reduce collisions by reservation and decrease the channel occupancy by transmitting multiple data frames via one PS-POLL. The analytic model and simulation results show that proposed scheme reduces power consumption significantly and enhances the performance of PSM.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.111-120
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• 2020

As an application of big data and artificial intelligence techniques, this study proposes an atypical language-based sentimental opinion poll methodology, unlike conventional opinion poll methodology. An alternative method for the sentimental classification model based on existing statistical analysis was to collect real-time Twitter data related to parliamentary elections and perform empirical analyses on the Polarity and Intensity of public opinion using attribute-based sensitivity analysis. In order to classify the polarity of words used on individual SNS, the polarity of the new Twitter data was estimated using the learned Lasso and Ridge regression models while extracting independent variables that greatly affect the polarity variables. A social network analysis of the relationships of people with friends on SNS suggested a way to identify peer group sensitivity. Based on what voters expressed on social media, political opinion sensitivity analysis was used to predict party approval rating and measure the accuracy of the predictive model polarity analysis, confirming the applicability of the sensitivity analysis methodology in the political field.

• Journal of Ecology and Environment
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• v.45 no.4
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• pp.255-263
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• 2021

Background: Ecosystem service mapping is an important tool for decision-making in landscape planning and natural resource management. Today, pollination service mapping is based on the Lonsdorf model (InVEST software) that determines the availability of nesting and floral resources for each land cover and estimates pollination according to the foraging range of the desired species. However, it is argued that the Lonsdorf model has significant limitations in estimating pollination in a landscape that can affect the results of this model. Results: This paper presents a free software, named PollMap, that does not have the limitations of the Lonsdorf model. PollMap estimates the pollination service according to a modified version of the Lonsdorf model and assumes that only cells within the flight range of bees are important in the pollination mapping. This software is produced for estimating and mapping crop pollination in agricultural landscapes. The main assumption of this software is that in the agricultural landscapes, which are dominated by forest and agriculture ecosystems, forest patches serve only as a nesting habitat for wild bees and the surrounding fields provide floral resources. Conclusion: The present study provided new software for mapping crop pollination in agricultural landscapes that does not have the limitations of the Lonsdorf model. We showed that the use of the Lonsdorf model for pollination mapping requires attention to the limitations of this model, and by removing these limitations, we will need new software to obtain a reliable mapping of pollination in agricultural landscapes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1800-1808
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• 2022

During the election period, many polling agencies survey and distribute the approval ratings for each candidate. In the past, public opinion was expressed through the Internet, mobile SNS, or community, although in the past, people had no choice but to survey the approval rating by relying on opinion polls. Therefore, if the public opinion expressed on the Internet is understood through natural language analysis, it is possible to determine the candidate's approval rate as accurately as the result of the opinion poll. Therefore, this paper proposes a method of inferring the approval rate of candidates during the election period by synthesizing the political comments of users through internet community posting data. In order to analyze the approval rate in the post, I would like to suggest a method for generating the model that has the highest correlation with the actual opinion poll by using the KoBert, KcBert, and KoELECTRA models.