• KDI Journal of Economic Policy
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• v.33 no.3
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• pp.121-161
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• 2011

We study incentive structures of public developers and land owners in the process of public expropriations using a sequential game model. In the model, we show that there is an incentive for the public developer to give more compensation than just compensation that are defined by law. Also the model shows that there is an incentive for the land owners to revolt strategically against the public expropriation. Then an ideal authority delegation model is introduced to resolve the problems, where an independent appraiser determines the compensation for the expropriation. In the real world, improving the independence of appraisal process is critical to make the system closer to the ideal authority delegation model. So this paper concludes by making a few policy suggestions to improve the current appraisal system.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.151-159
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• 2021

To derive grid lines for analyzing a table layout, line image enhancement techniques are studying such as various filtering or morphology methods. In spite of line image enhancement, it is still hard to extract line components and to express table cell's layout logically in which the cutting points are exist on the line or the tables are skewing . In this paper, we proposed a line tracking algorithm to extract line components under the cutting points on the line or the skewing lines. The table document layout analysis algorithm is prepared by searching grid-lines, line crossing points and gird-cell using line tracking algorithm. Simulation results show that the proposed method derive 96.4% table document analysis result with average 0.41sec processing times.

• Journal of Software Assessment and Valuation
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• v.13 no.1
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• pp.15-21
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• 2017

Analyzing a software package which is consisted of big numbers of files takes enormous costs and time. Therefore, SPDX (Software Package Data Exchange) working group collaborate with Linux Foundation published a software information(metadata) specification: SPDX. On the first half of 2017, the specification contains seven chapters and 66 items, according to Ver 2.1 of SPDX spec. It prefers Tag/Value or RDF forms but also supports spreadsheet form. In this paper, we introduce SPDX parsing & validation tools to check the validity of SPDX document. We'll develop SPDX document generator to manage software package more efficiently for our next target.

• Journal of Software Assessment and Valuation
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• v.15 no.1
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• pp.63-70
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• 2019

These days, as Interest in Image recognition with deep learning is increasing, there has been a lot of research in image recognition using deep learning. In this study, we propose a system for classifying rocks through rock images of 18 types of rock(6 types of igneous, 6 types of metamorphic, 6 types of sedimentary rock) which are addressed in the high school curriculum, using CNN model based on Tensorflow, deep learning open source framework. As a result, we developed a classifier to distinguish rocks by learning the images of rocks and confirmed the classification performance of rock classifier. Finally, through the mobile application implemented, students can use the application as a learning tool in classroom or on-site experience.

• Journal of Software Assessment and Valuation
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• v.15 no.2
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• pp.17-24
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• 2019

Use without permission of font files is a social problem. In the meantime, our court recognized font files as computer programs. Is the font file a computer program? This recognition arises from the inability to distinguish between computer programs and data. Expert recognition, on the other hand, does not recognize font files as computer programs. In this regard, there was a case in 2014 that INI files were not computer programs, but only data files. So, the attitude of the Supreme Court in 2001 only makes it difficult to distinguish between computer programs and data. The Supreme Court's decision needs to be changed. In addition, a new legal system should be in place to protect font files.

• Journal of the Korea Society for Simulation
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• v.26 no.4
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• pp.23-34
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• 2017

During Khmer Rouge Regime, Cambodian pop music was completely forgotten since 90% of artists were killed. After recovering from war since 1979, the music started to grow again in 1990. However, Cambodian popular music dynamic and flows are observably directed by the multifaceted socioeconomic, political and creative forces. The major problems are the plagiarism and piracy which have been prevailing for years in the industry. Recently, the consciousness of the need to preserve Khmer original songs from both fans and artist have been increased and become a new trend for Cambodia young population. Still, the music quality is in the limit state. To increase the mind-set, the feedbacks and inspiration are needed. The study suggested a music ranking website using sentiment analysis which data were collected from Production Companies Facebook Pages' posts and comments. The study proposed an algorithm which translates from Khmer to English, doing sentiment analysis and generate the ranking. The result showed 80% accuracy of translation and sentiment analysis on the proposed system. The songs that rank high in the system are the songs which are original and fit the occasion in Cambodia. With the proposed ranking algorithm, it would help to increase the competitive advantage of the musical productions as well as to encourage the producers to compose the new songs which fit the particular activities and event.

• Women's Studies Review
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• v.26 no.1
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• pp.183-206
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• 2009

This study attempts to explore a phenomenon of an expansion of emotional capitalism in the context of marriage migration. Emphasizing that 'emotion,' 'love,' 'affection,' 'intimacy,' and 'care' are neither materialistic nor a work, and noting that they are social roles attached to natural femininity and that they are separated from the economic realm, modern myth has been challenged by the increase of marriage industry, emotional/service work, and care industry. This study discusses the ways in which individual desires for love and intimacy and her/his economical needs are combined or negotiated. Specifically, this study 1) reviews existing literature on how 'love' and 'intimacy' has been combined with economy under capitalism in general, 2) discusses the ways in which a marriage has been commercially negotiated within the context of South Korea, 3) analyzes combined aspects of 'love' and 'economy' within cross-border marriages and suggests that cross-border marriages, even though they are highly commercially negotiated, may not be fully explained by 'economy' only as other marriages have both aspects of 'love' and 'economy.' An analysis on 'love' and 'economy,' not only separated from each other but also controversial, is essential for understanding 'intimacy' and transitions of Korean families in post-modern era. However, the evaluation criteria for commercial trades in 'love' and 'intimacy' have not developed yet. Whereas a certain trade is inevitable or essential, others may threaten our lives. Developing the ethical and political evaluation criteria on such commercial trades requires future study.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.53-59
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• 2021

In this paper, we propose a BERGPT-chatbot, a domestic AI chatbot that can alleviate negative emotions based on text input such as 'Replika'. We made BERGPT-chatbot into a chatbot capable of mitigating negative emotions by pipelined two models, KR-BERT and KoGPT2-chatbot. We applied a creative method of giving emotions to unrefined everyday datasets through KR-BERT, and learning additional datasets through KoGPT2-chatbot. The development background of BERGPT-chatbot is as follows. Currently, the number of people with depression is increasing all over the world. This phenomenon is emerging as a more serious problem due to COVID-19, which causes people to increase long-term indoor living or limit interpersonal relationships. Overseas artificial intelligence chatbots aimed at relieving negative emotions or taking care of mental health care, have increased in use due to the pandemic. In Korea, Psychological diagnosis chatbots similar to those of overseas cases are being operated. However, as the domestic chatbot is a system that outputs a button-based answer rather than a text input-based answer, when compared to overseas chatbots, domestic chatbots remain at a low level of diagnosing human psychology. Therefore, we proposed a chatbot that helps mitigating negative emotions through BERGPT-chatbot. Finally, we compared BERGPT-chatbot and KoGPT2-chatbot through 'Perplexity', an internal evaluation metric for evaluating language models, and showed the superity of BERGPT-chatbot.

• The Journal of Society for e-Business Studies
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• v.20 no.3
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• pp.59-77
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• 2015

Social networking sites (SNS), such as Facebook, provide abundant social comparison opportunities. Given the widespread use of SNSs, the purpose of the present study was to examine the impact of exposure to social media-based social comparison on user's negative emotions and discontinuous use intention on SNS. We present evidence that under the use of SNS, social comparison activities diverge into three patterns, with explicit self-evaluation desire made against similar target (lateral comparison), self-defense desire made against less fortunate target (downward comparison), and self-enhancement desire made with more fortunate target (upward comparison). Such social comparison processes frequently arise, as people are increasingly using on SNSs, the downward contacts ameliorating self-esteem with positive emotions, but the upward contacts and standard contacts with lateral status enabling a person to compare his or her situation with others and simultaneously increase negative emotions due to its differences with others. In other words, as people increasingly relying on SNSs for a variety of everyday tasks, they risk overexposure to upward or standard social comparison information that may have a cumulative detrimental impact on future intention on SNS use. This study with survey with 209 SNS users found that these negative emotions lead to negative fatigue (attitude) and then discontinuous use intention (behavior) on SNS. Our findings are among the first to explicitly examine discontinuous use intention on SNS using social comparison theory and our results are consistent with those of past research showing that upward social comparisons can be detrimental.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.09a
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• pp.335-339
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• 2010

본 연구는 현재 "디지털지적시범사업" 지구의 면적증감필지의 청산방법에 있어서 현재 17개 시범지구의 통일성이 없어 사업수행에 큰 차질을 빚고 있는 문제점의 개선을 위해 실효성 있는 지적재조사를 위한 방안으로 시범지구의 청산방법실태를 분석을 통해 전국적으로 제일 많이 존재하는 불부합 유형인 편위형과 불규칙형을 중심으로 1/600, 1/1200의 축척별 면적증감량에 따른 청산금을 비교 평가하였다. 또한 저비용 고효율의 새로운 면적청산모형을 제시하여 향후 지적재조사 추진과정의 가장 핵심사항으로 제기될 증감면적의 비용조정에 따른 모형을 제시하였다. 따라서 본 연구는 연구지역 전체의 면적증감량을 분석하고 그에 따른 개별공시지가, 감정평가액, 유사평가액, 혼합평가액의 모형에 따른 모형별 청산금의 납부 정수비용을 평가하였다.