• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.515-526
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• 2020

Digital healthcare is a combined area of medical field and IT and various information on digital healthcare is provided in social media. This study aims to find the research trend of digital healthcare by collecting and analyzing data related to digital healthcare through the social media. The data were collected from Naver and Daum's news and blogs from January 2008 to June 2019. Major keywords with high frequency were extracted and visualized with wordcloud and network analysis was used to analyze the relationship between major keywords. Research combining medical field and IT from 2008 to 2001, various convergence research based on medical field and IT from 2012 to 2015, convergence research that applied the 4th industrial revolution technologies such as big data, blockchain and AI were actively conducted from 2016 to June 2019.

• Journal of Advanced Navigation Technology
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• v.17 no.1
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• pp.63-68
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• 2013

Recently, companies seek a way to overcome their financial crisis by reducing costs in the field of IT. In such a circumstance, cloud computing is rapidly emerging as an optimal solution to the crisis. Even in a digital forensic investigation, whether users of an investigated system have used a cloud service is a very important factor in selecting additional investigated subjects. When a user has used cloud services, such as Daum Cloud and Google Docs, it is possible to connect to the could service from a remote place by acquiring the user's log-in information. In such a case, evidence data should be collected from the remote place for an efficient digital forensic investigation, and it is needed to conduct research on the collection and analysis of data from various kinds of cloud services. Thus, this study suggested a digital forensic framework considering cloud environments by investigating collection and analysis techniques for each cloud service.

• The Korean Journal of Applied Statistics
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• v.25 no.2
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• pp.269-277
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• 2012

In microarray data analysis, recent efforts have focused on the discovery of gene sets from a pathway or functional categories such as Gene Ontology terms(GO terms) rather than on individual gene function for its direct interpretation of genome-wide expression data. We introduce a meta-analysis method that combines $p$-values for changes of each gene in the group. The method measures the significance of overall treatment-induced change in a gene group. An application of the method to a real data demonstrates that it has benefits over other statistical methods such as Fisher's exact test and permutation methods. The method is implemented in a SAS program and it is available on the author's homepage(http://cafe.daum.net/go.analysis).

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.45-56
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• 2009

There are many internet users who collect the public opinions and express their opinions for internet news or blog articles through the replying comment on online community. But, it is hard to search and explore useful messages on web blogs since most of web blog systems show articles and their comments to the form of sequential list. Also, spam and malicious comments have become social problems as the internet users increase. In this paper, we propose a clustering and visualizing system for responding comments on large-scale weblogs, namely 'Daum AGORA,' using similarity analysis. Our system shows the comment clustering result as a simple screen view. Our system also detects spam comments using Needleman-Wunsch algorithm that is a well-known algorithm in bioinformatics.

• Journal of KIISE
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• v.44 no.8
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• pp.782-790
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• 2017

The service, 'Hot Search Keywords', provides a list of the most hot search terms of different web services such as Naver or Daum. The service, bases the changes in rank of a specific search keyword on changes in its users' interest. This paper introduces a temporal modelling framework for predicting the rank change of hot search keywords using past rank data and machine learning. Past rank data shows that more than 70% of hot search keywords tend to disappear and reappear later. The authors processed missing rank value, using deletion, dummy variables, mean substitution, and expectation maximization. It is however crucial to calculate the optimal window size of the past rank data. We proposed an optimal window size selection approach based on the minimum amount of time a topic within the same or a differing context disappeared. The experiments were conducted with four different machine-learning techniques using the Naver, Daum, and Nate 'Hot Search Keywords' datasets, which were collected for 2 years.

• KSCI Review
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• v.14 no.2
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• pp.245-254
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• 2006

Web Forensics algorithm used to an extraction of technical Web Forensics data to be adopted to proof data regarding a crime cyber a computer at data of a great number of log History is an essential element. Propose Web Forensics algorithm, and design at these papers, and try to implement in a Web server system of an actual company. And make the Web dispatch Loging system configuration experiment that applied integrity regarding Web log History information or authentication regarding an information source. Design Web Forensics algorithm and the Flow which used for Web log History analyses at server of e-mail, webmail, HTTP (Web BBS, Blog etc.), FTP, Telnet and messengers (MSN, NateOn, Yahoo, DaumTouch. BuddyBuddy, MsLee, AOL, SoftMe) of a company, and implement through coding. Therefore have a purpose of these paper to will contribute in scientific technical development regarding a crime cyber a computer through Web Forensics.

• Journal of Haehwa Medicine
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• v.22 no.2
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• pp.47-56
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• 2014

Objectives : The purpose of this study is to raise the proper recognition of Qigong and expand the area of Medical Qigong in the korean Medicine by investigating and analyzing the current state of Javaldonggong training which has a high medical value but there has not been little research on. Method : The survey of this study was conducted by doing a search on the internet - Naver(www.naver.com) and Daum(www.daum.net), Nate(www.nate.com), trying question-and-answer on the websites and over the phone, visiting the organizations and reading their publications. Results : None of the teachers of these selected organizations are doctors. One thing all these organizations have in common is that they are, ultimately, aiming to gain the individual enlightenment and to contribute to public welfare although the terms they use are different. As for training contents, most of these organizations use breathing, meditation, gymnastics, circuit training in addition to Javaldonggong training and they work on Javaldonggong training programs to prevent problems that Qigong training can result in. 7 organizations have published the books of the theories, which are based on their own Javaldonggong training experience. Conclusions : Applying Javaldonggong training to the therapy for the diseases is the role of a doctor of Korean medicine. A further study of and a great interest in Javaldonggong training are required for Korean medical doctors to gain a firm foothold in using it as the medical Qigong therapy.

• The Journal of Information Systems
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• v.24 no.3
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• pp.47-74
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• 2015

Purpose By participating in the business ecosystems, customers make both positive and negative impacts in the ecosystem. In particular, users of platform businesses participate in the business ecosystem as partial employees who voluntarily create and manage content. According to the organizational behavior literature, employees' psychological ownership toward the organization has an influence on the organizational competitiveness. Thus, with an assumption that customers gain psychological ownership toward the business that they participate in, it is important to analyze the process and the factors that influence their psychological ownership. This study proposes a research model that describes the process: customers undertake customer socialization, which then lead them to participate in the business-level and the business ecosystem-level activities. Through the participation, customers gain psychological ownership toward the business. Design/methodology/approach Based on a structural equation model, this study analyzes the data regarding the factors in the research model. Data was collected by surveying college students who represent themselves as Facebook and DaumKakao users. By analyzing the collected data, the relationships are validated between customer socialization and customer participations (i.e., both business-level and business ecosystem-level participation), and between the participations and customers' psychological ownership. Findings Based on the validation, this study confirms the importance of managing customers' psychological ownership and offers customers' participation by their socialization as a solution for increasing customers' psychological ownership. Also, this study proposes the business ecosystem research model as the general research framework for future research and expands the scope of strategic management from the individual level strategy to the business ecosystem wide perspective.

• The Journal of Society for e-Business Studies
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• v.25 no.4
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• pp.1-14
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• 2020

IT businesses in Korea have relatively strong regulations. While providing the same service, domestic businesses are in a situation of 'reverse discrimination of regulations' as they are less competitive than global IT companies in accordance with the application of the personal information protection legislation in Korea. In this paper, Personal Information Protection legislation was classified and laws of major countries were analyzed in comparative ways. It also compared and analyzed the "private policy" presented by representative Internet sites (Naver, Daum, Google, Facebook) that provide services to users in Korea. We also proposed three aspects of legislation improvement to address reverse discrimination.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.347-353
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• 2017

The aim of this paper is to improve the usability of Mobile Maps by allowing more people to use. To figure out better UX/UI, I evaluated usability for Mobile Applications from various materials such as literatures and blogs for qualitative methods and interviews and questionnaires about satisfaction of Naver and Daum for quantitative methods. So, We know that a map app is important and it is affected by force and profile on the portal site than its own features, because, not often in everyday life. Even though people do not use Mobile Map Applications frequently, we need to improve usability to make anybody use them easily by minimizing depth and button designs.