• Journal of Information Technology Applications and Management
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• 제25권1호
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• pp.19-32
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• 2018

Fake news is defined as the news articles that are intentionally and verifiably false, and could mislead readers. Spread of fake news may provoke anxiety, chaos, fear, or irrational decisions of the public. Thus, detecting fake news and preventing its spread has become very important issue in our society. However, due to the huge amount of fake news produced every day, it is almost impossible to identify it by a human. Under this context, researchers have tried to develop automated fake news detection method using Artificial Intelligence techniques over the past years. But, unfortunately, there have been no prior studies proposed an automated fake news detection method for Korean news. In this study, we aim to detect Korean fake news using text mining and machine learning techniques. Our proposed method consists of two steps. In the first step, the news contents to be analyzed is convert to quantified values using various text mining techniques (Topic Modeling, TF-IDF, and so on). After that, in step 2, classifiers are trained using the values produced in step 1. As the classifiers, machine learning techniques such as multiple discriminant analysis, case based reasoning, artificial neural networks, and support vector machine can be applied. To validate the effectiveness of the proposed method, we collected 200 Korean news from Seoul National University's FactCheck (http://factcheck.snu.ac.kr). which provides with detailed analysis reports from about 20 media outlets and links to source documents for each case. Using this dataset, we will identify which text features are important as well as which classifiers are effective in detecting Korean fake news.

• 한국콘텐츠학회논문지
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• 제12권2호
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• pp.127-141
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• 2012

영화에 있어서 등장인물은 곧 영화의 구성이며 이야기를 이끌어 나가는 주요한 요소이다. 인물은 성격 묘사와 밀접한 관계가 있으며 인물의 연령과 배경 그리고 학력, 직업은 성격을 판단하는 자료가 된다. 셔레이드가 중요한 이유는 셔레이드 기법을 쓰면 대사나 나레이션으로 설명하는 것보다도 훨씬 강한 인상으로 인물의 심리를 표현 할 수가 있다. 인간은 생각이 바뀌어야 행동이 바뀌고 행동이 반복되면 습관이 되고 습관이 반복이 되면 성품이 되는 것이다. 성품은 곧 인물의 성격, 캐릭터라 부른다. 셔레이드 기법이 인물의 심리를 잘 표현하는 것이기에 인물의 성격구축에 중요한 축을 유지 하고 있고 인간 심성과 심리적인 심층묘사는 곧 인물의 성격 구축과 일맥상통하는 것이기에 본 연구를 통하여 논의하고자 한다. 이와이 슈운지 감독의 "4월 이야기"를 텍스트로 선택하여 인물들이 행하는 섬세한 셔레이드 연기기법을 통해 인물의 성격을 어떻게 구축하는지의 방법론을 찾아 제시하여 작품 속의 셔레이드 기법이 인물의 성격구축에 미치는 영향을 분석 하겠다.

• 영어영문학
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• 제55권2호
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• pp.359-382
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• 2009

Eliot's The Waste Land represents the last century in many respects. While working on the poem in cooperation with Pound, Eliot intended to make "Gerontion" a prelude in The Waste Land. But, as we read in his letter to Eliot, Pound advised him against it. As a result, Eliot had excluded it from The Waste Land. "Gerontion" was published separately, as an independent poem. Between "Gerontion" and The Waste Land, we find that the theme and the techniques are very much alike. However, for this very reason Eliot and Pound must have had thought differently. Eliot must have thought that "Gerontion" would serve well as a preface to the long poem, The Waste Land. It will provide a good introduction to the long poem, he may have thought. In the meantime, Pound must have thought that such similarities in theme and techniques would weaken both works, which would be redundant. To Pound, it would be too much to have the summary of everything that is to be repeated in The Waste Land. Eliot intuitively followed Pound's judgment. Both "Gerontion" and The Waste Land have similarities in theme and techniques. The theme of both works is "aimlessness, spiritual sterility, barrenness" in modern man living in the waste land. For example, in "Gerontion," there appear an old man Gerontion, Mr. Silvero, Hakagawa, Madame de Tornquist, Fraulein von Kulp, who are representative of spiritual barrenness of modern world; in the same context, in The Waste Land those who are most representative of modern world are the Typist, clerk, Thames's daughters, Madamn Sosostris, Tiresias, Phelabas. And in terms of techniques, "Gerontion" and The Waste Land both use dramatic monologues, allusions, and the techniques of modern art, such as montage and mosaic. Here in these works Eliot in fact practises his theory of the "Objective Correlative" that he has invented.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 추계학술대회
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• pp.273-277
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• 2007

Ubiquitous computing environment accelerates the advent of the IT Ecosystem. In the coming generation, a massive number of ubiquitous devices and services are converged into an ultra-large-scale system. In this context, high degrees of complexity and organization change the paradigm of knowledge and its management levels. The objective of this paper is to explore the Knowledge Management Systems in view of demands in ultra-large-scale systems. We introduce motivation for Next-Generation (NG) usage and their upcoming requirements. The possible applications will be discussed, and summary of different techniques are conducted. The tools and techniques that allow KMS to operate as "Vital Success Enabler" to achieve organizational benefits will be examined. Potential future directions for research are highlighted: these include advances in knowledge capture, storage / retrieval and sharing techniques, in particular with the surrounding role of information technology.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.721-725
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• 2004

Multiple-count problem is occurred when rectangle objects span across several buckets. The Cumulative Density (CD) histogram is a technique which solves multiple-count problem by keeping four sub-histograms corresponding to the four points of rectangle. Although it provides exact results with constant response time, there is still a considerable issue. Since it is based on a query window which aligns with a given grid, a number of errors may be occurred when it is applied to real applications. In this paper, we proposed selectivity estimation techniques using the generalized cumulative density histogram based on two probabilistic models: (1) probabilistic model which considers the query window area ratio, (2) probabilistic model which considers intersection area between a given grid and objects. In order to evaluate the proposed methods, we experimented with real dataset and experimental results showed that the proposed technique was superior to the existing selectivity estimation techniques. The proposed techniques can be used to accurately quantify the selectivity of the spatial range query on rectangle objects.

• International Journal of Advanced Culture Technology
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• 제5권3호
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• pp.40-45
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• 2017

This data mining technique was used to extract useful information from percutaneous coronary intervention data obtained from the US public data homepage. The experiment was performed by extracting data on the area, frequency of operation, and the number of deaths. It led us to finding of meaningful correlations, patterns, and trends using various algorithms, pattern techniques, and statistical techniques. In this paper, information is obtained through efficient decision tree and cluster analysis in predicting the incidence of percutaneous coronary intervention and mortality. In the cluster analysis, EM algorithm was used to evaluate the suitability of the algorithm for each situation based on performance tests and verification of results. In the cluster analysis, the experimental data were classified using the EM algorithm, and we evaluated which models are more effective in comparing functions. Using data mining technique, it was identified which areas had effective treatment techniques and which areas were vulnerable, and we can predict the frequency and mortality of percutaneous coronary intervention for heart disease.

• 한국IT서비스학회지
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• 제13권3호
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• pp.299-308
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• 2014

Due to indiscriminately received spam messages on information society, spam messages cause damages not only to person but also to our community. Nowadays a lot of spam filtering techniques, such as blocking characters, are studied actively. Most of these studies are content-based spam filtering technologies through machine learning.. Because of a spam message transmission techniques are being developed, spammers have to send spam messages using term spamming techniques. Spam messages tend to include number of nouns, using repeated words and inserting special characters between words in a sentence. In this paper, considering three features, SPSS statistical program were used in parameterization and we derive the equation. And then, based on this equation we measured the performance of classification of spam messages. The study compared with previous studies FP-rate in terms of further minimizing the cost of product was confirmed to show an excellent performance.

• 한국윤활학회:학술대회논문집
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• 한국윤활학회 2003년도 학술대회지
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• pp.307-312
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• 2003

The average frictional coefficient was used generally to analyze the moving state of lubricated machine. But It is difficult of getting the correct friction coefficient because the average frictional coefficient of it is progressed always unstably with a large amplitute on driving condition. If correct analysis of frictional coefficient on working condition for lubricated machine can be possible, it can be effect on diagnosis of lubricated machine. The purpose of this study is carried out to get the working condition with a minimum frictional coefficient of transmission gear materials using statistical techniques.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권11호
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• pp.3638-3654
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• 2014

Cognitive Radio (CR) users need to sense the environment or channel at regular time interval for sharing the spectrum band of the primary users (PUs). Once find the spectrum idle, CR users start their transmission through it. Even while transmitting, they need to continue the sensing process so that they can leave the spectrum immediately whenever find a PU wanting to use the band. Therefore, detecting PUs is one of the main functions of cognitive radio before transmission and higher the detection probability ensures better protection to the primary users. However, it is not possible to attain a high detection probability (or a low miss detection probability) and low false alarm probability simultaneously as there is a tradeoff between false alarm probability ($P_{fa}$) and the probability of detection ($P_d$). In this paper, the author has provided a comprehensive study on different sensing techniques and discussed their advantages and disadvantages. Moreover, it is expected that, with this article, readers can have a through understanding of sensing techniques in CR and the current research trends in this area.

• 한국컴퓨터정보학회논문지
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• 제20권9호
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• pp.11-20
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• 2015

In order to prevent the elderly people from committing suicide attempts, it is necessary to verify attributes that affect the suicide attempts. It is noted that previous studies have focused on qualitative approaches, and simple correlation analyses to determine the attributes related to the suicide attempts in the elderly people. However, such previous approaches had led to insufficient performance when facing with complicated data sets. In this sense, this study suggests an alternative method in which attribute selection techniques are adopted to determine more relevant attributes of the suicide attempts occurring in Korean elderly people. To verify empirical validity of our proposed method, we used Korea National Health and Nutrition Examination Survey (KNHANES) from January 2007 to December 2012. Empirical results proved that the proposed attribute selection techniques showed better predictive effectiveness; 94.4% compared to the simple statistical methods. This study proposes a way to determining the elderly suicide and preventing it to happen.