• The Korean Journal of Applied Statistics
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• v.27 no.4
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• pp.523-541
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• 2014

We apply a Bayesian estimation procedure to the analysis of roll call voting records on 2,389 bills processed during the 18th Korean National Assembly. The analysis of roll calls yields useful tools for to combining the measurement of legislative preference with the models of legislative behavior. The current Bayesian procedure is extremely exible, applicable to any legislative setting, irrespective of the extremism of the legislator's voting history or the number of roll calls available for analysis. It can be applied to any legislative settings, providing a useful solution to many statistical problems inherent in the analysis of roll call voting records. We rst estimate the ideal points of all members of the 18th National Assembly and their condence intervals. Subsequently, using the estimated ideal points, we examine the factional disparity within each major party using the estimated ideal points. Our results clearly suggest that there exists a meaningful ideological spectrum within each party. We also show how the Bayesian procedure can easily be extended to accommodate theoretically interesting theoretical models of legislative behavior. More specically, we demonstrate how the estimated posterior probabilities can be used for identifying pivotal legislators.

• Information Systems Review
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• v.23 no.3
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• pp.51-75
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• 2021

Global e-commerce websites offer personalized recommendation services to gain sustainable competitiveness. Existing studies have offered personalized recommendation services using quantitative preferences such as ratings. However, offering personalized recommendation services using only quantitative data has raised the problem of decreasing recommendation performance. For example, a user gave a five-star rating but wrote a review that the user was unsatisfied with hotel service and cleanliness. In such cases, has problems where quantitative and qualitative preferences are inconsistent. Recently, a growing number of studies have considered review data simultaneously to improve the limitations of existing personalized recommendation service studies. Therefore, in this study, we identify review and rating mismatches and build a new user profile to offer personalized recommendation services. To this end, we use deep learning algorithms such as CNN, LSTM, CNN + LSTM, which have been widely used in sentiment analysis studies. And extract sentiment features from reviews and compare with quantitative preferences. To evaluate the performance of the proposed methodology in this study, we collect user preference information using real-world hotel data from the world's largest travel platform TripAdvisor. Experiments show that the proposed methodology in this study outperforms the existing other methodologies, using only existing quantitative preferences.

• The Journal of the Acoustical Society of Korea
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• v.31 no.7
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• pp.480-486
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• 2012

In the design of electro acoustic transducer, power factor improvement circuit is more required rather than impedance matching if the driving power amplifier has little inner resistance. Many research results have been focused on the power matching circuit designing for transferring maximum power in the wideband. There are few results in the designing study on the power factor improvement for the wide band electro acoustic transducer. In this paper, we propose a new design method on the power factor improvement for the wide band electro acoustic transducer. The proposed method consists of two steps, the chebyschev matching method and the constrained optimization, respectively.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.12
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• pp.967-975
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• 2013

In the design of underwater electro acoustic transducer, power factor improvement circuit is more required rather than impedance matching if the driving power amplifier has little inner resistance. Many research results have been focused on the power matching circuit designing for transferring maximum power in the wideband. There are few results in the designing study on the power factor improvement for the wide band underwater electro acoustic transducer. In this paper, we set up a new design method on the power factor improvement for the wide band electro acoustic transducer, and confirm its feasibility by the experiments.

• Journal of Distribution Research
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• v.17 no.5
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• pp.25-38
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• 2012

In general, commercial franchisors prefer franchisees with high entrepreneurship and business capability. However, these entrepreneurial franchisees with high capability tend to depend less on franchisors. Although franchisees with less entrepreneurship and low capability need intensive care from franchisors, some of them result in business failure due to improper supports from incapable franchisors. This paper suggests several propositions regarding social franchising's role in supporting the low-income urban people on the premise that social franchising or micro-franchising provides implications for franchisor strategic orientations for franchisees with little capital. Through literature review about social franchising and micro franchising, some implications are drawn. Many social enterprises use franchising to get growth and sustainability, because franchising allow social enterprise to expand its scale and to achieve economies of scale despite of its non-commercial and social purpose. And continuous support and training undertake the most important role to achieve its social purpose. In commercial franchising, especially small business format franchising sector, franchisor have to consider not only commercial purpose but also social responsibility because of low capability and less entrepreneurship of franchisee. If franchisor pursue only own profit, this can increase the conflict and franchise system failure. So far many franchisors are concerned with own profit and external growth. But it is necessary to consider symbiotic relationship, social responsibility and sustainability more for the sake of desirable industrial growth in the future.

• Journal of dental hygiene science
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• v.10 no.2
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• pp.71-77
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• 2010

The purpose of this study was to examine the knowledge of dental hygienists about the elderly and their attitude toward them as dental hygienists played vital roles in oral health care for elderly patients. It's ultimately meant to help improve their right understanding of the elderly to provide quality oral health care service to the elderly population in preparation for an aging society. The subjects in this study were 241 dental hygienists, on whom a self-administered survey was implemented. After the collected data were analyzed, the following findings were given: They got a mean of $12.40{\pm}2.99$ out of possible 22 points on knowledge of the elderly. Their general characteristics and characteristics related to the elderly made no statistically significant differences to their knowledge. As for attitude toward the elderly, they got a mean of $3.13{\pm}0.28$. Concerning links between their general characteristics and attitude toward the elderly, the better-educated dental hygienists took a more favorable attitude to the elderly.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.124-137
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• 2018

The OTT service in Korea is not as popular as that in the U. S. This study argues that one of the major reasons of poor performance of OTT in Korea is that the OTT service providers did not acquire attracting contents, thus failing to appeal to Korean users. The other reason is Korean users are not willing to use OTT services because of high telecommunications fees to use OTT services. That is why most OTT users are using OTT services in WiFi zones, such as house, workplace, or school. This study investigated the popular OTT contents in recent three years, and how these popular OTT contents are provided in OTT service platforms, and how these contents are used in different places. The results of this study may provide several implications for OTT service providers' strategies in the future, and propose policy implications for the development of OTT services in Korea.

• Journal of Korean Society of Transportation
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• v.26 no.1
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• pp.145-153
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• 2008

Existing shortest-path algorithms mainly consider a single attribute. But traveler actually chooses a route considering not single attribute but various attributes which are synthesized travel time, route length, personal preference, etc. Therefore, to search the optimal path, these attributes are considered synthetically. In this study route searching algorithm which selects the maximum utility route using discrete choice model has developed in order to consider various attributes. Six elements which affect route choice are chosen for the route choice model and parameters of the models are estimated using survey data. A multinomial logit models are developed to design the function of route choice model. As a result, the model which has route length, delay time, the number of turning as parameter is selected based on the significance test. We use existing shortest path algorithm, which can reflect urban transportation network such as u-turn or p-turn, and apply it to the real network.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.1061-1063
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• 2014

온라인 소셜 네트워크 상에서 메시지가 어떻게 사용자로부터 다른 사용자들에게까지 전달되는지 연구하는 분야는 현재 인터넷 인구의 증가와 소셜 네트워크 서비스의 발전에 맞물려서 흥미로운 분야가 되었다. 이를 연구함으로써, 바이럴 마케팅이나 여론 형성 등, 메시지가 최대한 영향력을 발휘하게끔 하는데 도움을 줄 수 있으므로, 메시지 전파의 효율성, 메시지의 발원지 예상 등, 다양한 연구가 지금까지 이루어졌고, 각 연구들은 소셜 네트워크 에서의 각기 다른 특징들에 주목하였다. 본 연구는 그 다양한 특징들 중, 소셜네트워크가 다양한 구성원들로 이루어져있고, 그 구성원들은 비슷한 구성원끼리 묶을 수 있다는 점에서 출발하였다. 소셜 네트워크는 수많은 사용자들로 이루어져 있고, 그 사용자들의 개별적인 특징들을 구분한다는 것은 굉장히 어려운 일이다. 따라서 각 사용자들을 추상화 하는 것이 필요하고, 그 중 한 방법은 사용자들을 특징별로 묶는 일이다. 사용자들을 그룹으로 묶는 것을 고려함에 따라, 사용자 그룹들 사이의 관계와 선호도 등을 고려함으로써, 단순한 정보 전달 양상에서 벗어나 자세한 관찰을 하는 것이 가능하다. 또한, 정보 전파 양상에서 그룹의 비율이 미치는 영향에 대해서 관찰하는 것도 가능하다. 본 글에서는 메시지 전파 모델 중 하나인 Independent Cascade Model을 사용하여 그룹을 특정할 수 있는 모델을 제시하며, 각 유저들의 비율이 달라질 경우 발생하는 현상을 실험한다. 제시한 모델을 바탕으로 메시지 전파가 그룹간의 유사도에 영향을 받을 수 있는지에 대한 앞으로의 연구 또한 제시한다.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.339-344
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• 2019

Global sequence alignment in search of similarity or homology favors larger size of the sequence because it keeps looking for more similar section between two sequences in the hope that it adds up scores for matched part in the rest of the sequence. If a substantial size of mismatched section exists in the middle of the sequence, it greatly reduces the total alignment score. In this case a whole sequence would be better to be divided into multiple sections. Overall alignment score over the multiple sections of the sequence would increase as compared to global alignment. This method is called multiple local alignment. In this paper, we implement a multiple local alignment algorithm, an extension of Smith-Waterman algorithm and show the experimental results for the algorithm that is able to search for sub-optimal sequence.