• 디지털융복합연구
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• 제16권10호
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• pp.27-37
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• 2018

본 연구의 목적은 사범계 대학생들이 보편적인 소셜네트워크서비스 중 하나인 카카오톡 환경에서 나타나는 소통 행태와 활용에 대해 어떠한 인식을 갖고 있는지 알아보기 위함이다. 이를 위해서 86명의 사범계 대학생의 설문조사 결과를 분석하고 10명에게 심층면담조사를 병행한 혼합연구방법을 실시하였다. 주요 결과를 살펴보면, 첫째, 카카오톡은 대학생에게 공적 사적인 인적 네트워크를 유지하기 위한 필수적인 기능을 하고, 자신의 의견, 생각, 존재 자체를 표현하는 보편적인 도구이지만, 여전히 면대면 소통도 중요하게 인식하고 있었다. 둘째, 대학생들은 카카오톡 환경이 대학생의 삶, 즉 일상의 생태계에 포함되어 있으며, 자유롭게 자신의 이미지를 조정, 관리하고 자기 자신을 표현하는 소통의 공간으로 여기고 있었다. 셋째, 그들은 카카오톡을 통하여 심리적으로는 외로움을 해소하거나 자신을 지지하는 힘을 얻기도 하였으며, 공적 또는 사적 단톡방 용도에 따라 소통 내용에 차이가 있었다. 향후 후속연구에서는 세대간 소셜네트워크서비스 안에서 느끼는 인지심리학적 변인을 비교 분석하고 온라인 교육의 차원에서 디지털 문화 리터러시 지침 관련 연구가 진행되어야 할 것이다.

• 한국전자통신학회논문지
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• 제9권6호
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• pp.695-701
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• 2014

블랙홀 공격은 라우팅 정보를 무단으로 변경하여 전송성능에 치명적인 영향을 초래할 수 있다. 블랙홀 공격에 대응하는 수단으로서 IDS(Intrusion Detection System) 또는 IPS(Intrusion Prevention System) 등을 사용할 경우 일정 정도의 전송성능을 개선할 수 있다. 본문에서는 블랙홀 공격이 발생되는 MANET(Mobile Ad-hoc Network)에서 IDS가 종단간 성능에 미치는 영향을 패킷취합전송 관점에서 분석한다. 성능분석은 NS-2를 기반으로 구축한 MANET 시뮬레이터를 사용하였으며, 음성 서비스인 VoIP(Voice over Internet Protocol) 트래픽을 대상으로 음성서비스 표준 성능 파라미터인 MOS(Mean Opinion Score), 연결율, 지연 및 패킷손실율을 분석하였고, 본 논문에서 제시한 성능팩터를 활용한 분석을 제시하였다. 성능분석 결과의 하나로 패킷취합전송을 사용하는 MANET에서 블랙홀 공격에 대비한 IDS 조건을 제시하였다.

• 지역사회간호학회지
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• 제29권2호
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• pp.244-256
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• 2018

Purpose: This study tried to understand discourses of life-sustaining treatments in general daily and healthcare newspapers. Methods: A text-network analysis was conducted using the NetMiner program. Firstly, 572 articles from 11 daily newspapers and 258 articles from 8 healthcare newspapers were collected, which were published from August 2013 to October 2016. Secondly, keywords (semantic morphemes) were extracted from the articles and rearranged by removing stop-words, refining similar words, excluding non-relevant words, and defining meaningful phrases. Finally, co-occurrence matrices of the keywords with a frequency of 30 times or higher were developed and statistical measures-indices of degree and betweenness centrality, ego-networks, and clustering-were obtained. Results: In the general daily and healthcare newspapers, the top eight core keywords were common: "patients," "death," "LST (life-sustaining treatments)," "hospice palliative care," "hospitals," "family," "opinion," and "withdrawal." There were also common subtopics shared by the general daily and healthcare newspapers: withdrawal of LST, hospice palliative care, National Bioethics Review Committee, and self-determination and proxy decision of patients and family. Additionally, the general daily newspapers included diverse social interest or events like well-dying, euthanasia, and the death of farmer Baek Nam-ki, whereas the healthcare newspapers discussed problems of the relevant laws, and insufficient infrastructure and low reimbursement for hospice-palliative care. Conclusion: The discourse that withdrawal of futile LST should be allowed according to the patient's will was consistent in the newspapers. Given that newspaper articles influence knowledge and attitudes of the public, RNs are recommended to participate actively in public communication on LST.

• 대한안전경영과학회지
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• 제14권4호
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• pp.229-238
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• 2012

Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.320-326
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• 2022

The use of the Internet has become commonplace for billions of people on the planet. The rapid development of technology, in particular, mobile gadgets, has provided access to communication anywhere, anytime. At the same time, there are growing concerns about the behavior of people on the Internet, in particular, towards each other and social groups in general. This raises the issue of human rights in today's information society. In this study, we focused on human rights such as the right to privacy, confidentiality, freedom of expression, the right to be forgotten, etc. We point to some differences in this regard, in particular between the EU, etc. In addition, we describe the latest legal regulation in this aspect in European countries. Such methods as systemic, factual, formal and legal, to show the factors of formation and development of human rights in the context of digitalization were used. The authors indicate which of them deserve the most attention due to their prevalence and relevance. Thus, we concluded that the technological development of social communications has laid the groundwork for a legal settlement of privacy and opinion issues on the Internet. Simultaneously, jurisdictions address issues on every aspect of human rights on the Internet, based on previous norms, case law, and principles of law. It is concluded that human rights legislation on the Internet will continue to be actively developed to ensure a balance of private and public interests, safe online access and unimpeded access to it.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.79-88
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• 2024

The use of the social media has become part of our daily life activities. The social web channels provide the content generation facility to its users who can share their views, opinions and experiences towards certain topics. The researchers are using the social media content for various research areas. Sentiment analysis, one of the most active research areas in last decade, is the process to extract reviews, opinions and sentiments of people. Sentiment analysis is applied in diverse sub-areas such as subjectivity analysis, polarity detection, and emotion detection. Stance classification has emerged as a new and interesting research area as it aims to determine whether the content writer is in favor, against or neutral towards the target topic or issue. Stance classification is significant as it has many research applications like rumor stance classifications, stance classification towards public forums, claim stance classification, neural attention stance classification, online debate stance classification, dialogic properties stance classification etc. This research study explores different feature sets such as lexical, sentiment-specific, dialog-based which have been extracted using the standard datasets in the relevant area. Supervised learning approaches of generative algorithms such as Naïve Bayes and discriminative machine learning algorithms such as Support Vector Machine, Naïve Bayes, Decision Tree and k-Nearest Neighbor have been applied and then ensemble-based algorithms like Random Forest and AdaBoost have been applied. The empirical based results have been evaluated using the standard performance measures of Accuracy, Precision, Recall, and F-measures.

• 문화기술의 융합
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• 제10권1호
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• pp.193-203
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• 2024

유튜브를 통한 뉴스 이용률이 급증하는 상황에서 본 연구는 유튜브에서 여러 뉴스생산자의 영향력을 실증적으로 규명하기 위해 2단계 의제 설정 이론을 기반으로 뉴스생산자들이 이슈의 어떤 속성을 두드러지게 보도하는지 조사했다. 연구 결과를 통해 방송사가 유튜브에서도 의제를 설정하고 여론을 형성할 수 있는 영향력을 보유하고 있음을 확인했고, 유튜브 환경에서 2단계 의제 설정 효과가 발생할 가능성을 발견했다. 뉴스생산자들이 정치 이슈를 보도할 때 뉴스생산자의 정파성이 작용해 감정적인 단어를 남용하는 것은 아닌지 비판하고, 정치 이슈에 대한 정서적 접근이 뉴스 이용자의 현실 인식에 부정적 영향을 미칠 수 있다는 것을 논의했다.

• 전기학회논문지P
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• 제64권4호
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• pp.199-206
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• 2015

A rising attention is paid to the railway system in many countries. KOREA is also of the opinion that the railway has to play a more important role in the near future to face up to the problems that increase gradually in the transport sector. To attract more traffic to the rail networks, it is important for rail modes to have running time competitiveness. Tilting trains, where it is possible to tilt the car-body towards the center of the curve, are a less expensive alternative to shorten travelling times on existing lines. Running time for tilting train is one of the most important factors, with which passenger demand forecasting or economic feasibility analysis will be done. This paper evaluates the speed limitation of tilting train around curves and also presents calculation process of its simulated possible running time. Then the adequacy of estimated time is verified with running time for Korean protype tilting train TTX (Tilting Train eXpress) by actual test run. As a case study, the estimated running time for the production version of tilting train and its time saving are presented compared with 2012's conventional Saemaul trains and non-tilting trains on the Gyeongbu line in the Korean rail network.

• 한국주거학회논문집
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• 제17권5호
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• pp.169-178
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• 2006

The purpose of this study is to provide the guidelines for housing area that consider the children's outdoor behavior. This study was complemented the limit of study method of the previous studies limiting the subject to play space in APT. So, this study was progressed the analyzation of physical characters of outdoor spaces, the observation of children's activities behavior, and the survey of children's opinion and satisfaction. Especially, 2 objective housing areas of this study were selected the deferent areas. The deferents were the structure of street, the location shape of parks, and the physical characters(accessibility, network etc.). Finally, founding on the result of this study, the 7 guidelines of housing area for children were presented : play space, park & green space, space of around the education facilities, space of around the commercial facilities, street space, square, and parking lot. This study have means that expand the objective range and use the variety study methods.

• 한국정보교육학회:학술대회논문집
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• 한국정보교육학회 2011년도 동계학술대회
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• pp.233-240
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• 2011

소셜 미디어 (Social Media)는 사람들이 자신의 생각과 의견, 경험, 관점 등을 서로 공유하고 참여하기 위해 사용하는 개방화된 온라인 툴과 미디어 플랫폼으로서 소비와 생산의 일반적인 흐름이 동작하지 않으며, 양방향성을 활용하여 사람들이 참여하고 정보를 공유하며 사용자들이 만들어 나간다. 이런 소셜 미디어에는 블로그(Blog), 소셜 네트워킹서비스(Social Networking Service, SNS), 위키(Wiki), 손수제작물(UCC), 마이크로 블로그(Micro Blog) 5가지가 있다. 소셜 러닝은 넓게는 사람들이 소셜 미디어를 통해 서로 협업과 집단지성을 나누며 스스로 학습하는 것으로 좁게는 소셜 미디어를 통한 학습이라고 정의할 수 있다. 본 논문에서는 소셜 미디어와 Social Learning에 대해 자세히 알아보고 초등학교에서 어떻게 활용할 수 있는지 연구하였다.