• Broadcasting and Media Magazine
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• v.18 no.1
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• pp.89-104
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• 2013

다양한 스마트기기 간 및 앱(Application) 간 연동을 통한 스마트미디어 생태계 환경에서 애플(Apple), 구글(Google), 마이크로소프트(Microsoft) 등 SW(Software) 기반 OS(Operating System) 플랫폼들은 개별 체제 강화를 더욱 견고히 하고 있다. 생태계 내 타(他) 구성원들은 이들에 의한 제약이 더욱 심해지자, 웹 문서의 표준화(HTML5)나 클라우드 컴퓨팅(Cloud computing) 같은 개방화된 기술들을 환영한다. 실제로 최근 웹 애플리케이션(Web application) 개발과 개발자들의 OS 플랫폼 이탈은 이러한 변화의 단면을 보여주기 시작했다. 본 고는 SW 중심에서 서비스 중심으로 이동 중인 플랫폼 경쟁 환경에서 네트워크를 보유 중인 방송통신사업자들의 새로운 스마트미디어 전략 방향을 제시하는데 그 목적을 둔다. 이를 위해 두 가지 기술적 배경인 HTML5와 클라우드 컴퓨팅 기술들을 살펴본 후, 그 동안 SW 중심 플랫폼 경쟁 환경에서 주도권을 빼앗겼다고 깨달은 방송통신사업자가 취해야 할, 두 가지 새로운 기술적 환경에서의 스마트미디어 전략을 제시하였다. 분석 결과, HTML5가 모바일 분야의 핵심 기술이 될 전망이지만, 단기적으로는 여전히 미성숙 문제가 제기될 것으로 보이며, 기존 경쟁력을 유지하려는 OS 사업자들의 가치사슬 통합 전략이 가시화되고 있는 환경이 목격된다. 또한, 클라우드 서비스 제공도 이미 이들 OS사업자들의 기존 생태계 유지를 위한 핵심 툴로 이미 활용되기 시작했다. 그럼에도 불구하고 HTML5와 클라우드 컴퓨팅은 방송통신사업자들에게 생태계 주도권을 탈환할 수 있는 중요한 기술로 인식되고 있다. 따라서 본 연구에서는 이를 기반으로 세 가지 이용자 경험인 '경계 없는', '동질적인', '끊김 없는' 이용자 경험(User Experience) 제공을 위해 노력하는 선도적인 사례 탐색이 시도되었으며, 이를 통해 방송통신사업자들의 미래 스마트미디어 전략 방향이 도출되었다. '경계 없는' 서비스에서는 구글, 애플 외의 멀티OS 전략과 기존 OS의 앱 서비스 대항마인 아마존(Amazon), 페이스북(Facebook) 등과의 적극적 서비스 제휴, '동질적인' 서비스에서는 클라우드 기반 주요 콘텐츠 플랫폼 제휴와 방송통신 가입자 기반의 All-IP기반으로의 확대, 마지막으로 '끊김 없는' 서비스에서는 SNS, LBS, 가상현실 등과의 매쉬업(Mash-up)과 의료, 금융 등과의 융합서비스 개발을 통한 스마트홈 전략 추진, 인증 및 결제시스템의 개방화 등이 제시되었다.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.105-110
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• 2021

In this paper, we design and implement an Android mobile application that helps hearing impaired people communicate based on STT(Speech-to-Text) and TTS(Text-to-Speech) APIs and accelerometer sensor of a smartphone. This application provides the ability to record what the hearing-Impairment person's interlocutor is saying with a microphone, convert it to text using the STT API, and display it to the hearing-Impairment person. In addition. In addition, when a hearing-impaired person inputs a text using the TTS API, it is converted into voice and told to the interlocutor. When a hearing-impaired person shakes their smartphone, an accelerometer based background service function is provided to run the application. The application implemented in this paper provides a function that allows hearing impaired people to communicate easily with other people when communicating with others without using sign language as a video call.

• Fashion & Textile Research Journal
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• v.24 no.5
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• pp.593-604
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• 2022

The purpose of this study is to analyze the flow of change in perception of metaverse before and after COVID-19 through big data analysis. This research method used Textom to collect all data, including metaverse for two years before COVID-19 (2018.1.1~2019.11.30) and after COVID-19 outbreak (2020.1.11~2021.12.31), and the collection channels were selected by Naver and Google. The collected data were text mining, and word frequency, TF-IDF, word cloud, network analysis, and emotional analysis were conducted. As a result of the analysis, first, hotels, weddings, and glades were commonly extracted as social issues related to metaverse before and after COVID-19, and keywords such as robots and launches were derived, so the frequency of keywords related to hotels and weddings was high. Second, the association of the pre-COVID-19 metaverse keywords was platform-oriented, content-oriented, economic-oriented, and online promotion-oriented, and post-COVID-19 clusters were event-oriented, ontact sales-oriented, stock-oriented, and new businesses. Third, positive keywords such as likes, interest, and joy before COVID-19 were high, and positive keywords such as likes, joy, and interest after COVID-19. In conclusion, through this study, it was found that metaverse has firmly established itself as a new platform business model that can be used in various fields such as tourism, travel, festivals, and education using smart technology and metaverse.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.111-119
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• 2022

The purpose of this paper is to examine the change in perception of 3D virtual fashion before and after COVID-19 using big data analysis. The data collection period is from January 1, 2017, before the outbreak of COVID-19, to October 30, 2022, after the outbreak. Big data was collected for key words related to 3D virtual fashion extracted from social media such as Naver, Daum, Google, and YouTube using Textom. After the collected words were refined, word cloud, word frequency, connection centrality, network visualization, and CONCOR analysis were performed. As a result of extracting and analyzing 32,461 words with 3D virtual fashion as a keyword, the frequency and centrality of fashion, virtual, and technology appeared the highest, and the frequency of appearance of digital, design, clothing, utilization, and manufacturing was also high. Through this, it was found that 3D virtual fashion is being used throughout the industry along with the development of technology. In particular, the key words that stand out the most after COVID-19 are metaverse and 3D education, which are in high demand in the fashion industry.

• Journal of the Korean Society for information Management
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• v.40 no.1
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• pp.149-173
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• 2023

This study examines email records management patterns of undergraduate students and their perceptions of university email policy. The research collected data from 317 undergraduate students using a survey based on the five essential elements of email records management: common elements, email creation, email management, email preservation, and perception. Also, an in-depth interview was conducted with 6 undergraduate students, according to the method of university email service: Google, Microsoft, and in-house webmail. As a result, undergraduate students used email as an address book, cloud storage, file storage, and collaboration tool, and they had difficulties in systematically managing the email records according to the records lifecycle. Also, there was a tendency to prefer using an external email platform that can use additional functions to in-house webmail that has limitations in mobile service and preservation of attachments. Thus, this study suggests ways to help undergraduate students manage their email records, including maintaining graduates' email accounts, providing sufficient email storage, and providing email records management training and guidelines for undergraduate students.

• Asia pacific journal of information systems
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• v.30 no.2
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• pp.397-419
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• 2020

Business analytics is a management tool for achieving significant business performance improvements. Many organizations fail to or only partially achieve their business objectives and goals from business analytics. Business analytics adoption is a multi-stage complex activity consisting of evaluation, adoption, and assimilation stages. Several research papers have been published in the field of business analytics, but the research on multi-stage BA adoption is fewer in number. This study contributes to the scant literature on the multi-stage adoption model by identifying the critical themes for evaluation, adoption, and assimilation stages of business analytics. This study uses the thematic content analysis of peer-reviewed published academic papers as a research technique to explore the key themes of business analytics adoption. This study links the critical themes with the popular theoretical foundations: Resource-Based View (RBV), Dynamic Capabilities, Diffusion of Innovations, and Technology-Organizational-Environmental (TOE) framework. The study identifies twelve major factors categorized into three key themes: organizational characteristics, innovation characteristics, and environmental characteristics. The main organizational factors are top management support, organization data environment, centralized analytics structure, perceived cost, employee skills, and data-based decision making culture. The major innovation characteristics are perceived benefits, complexity, and compatibility, and information technology assets. The environmental factors influencing BA adoption stages are competition and industry pressure. A conceptual framework for the multi-stage BA adoption model is proposed in this study. The findings of this study can assist the practicing managers in developing a stage-wise operational strategy for business analytics adoption. Future research can also attempt to validate the conceptual model proposed in this study.

• Korean Journal of Remote Sensing
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• v.37 no.3
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• pp.449-461
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• 2021

Analysis Ready Data (ARD) for optical satellite images represents a pre-processed product by applying spectral characteristics and viewing parameters for each sensor. The atmospheric correction is one of the fundamental and complicated topics, which helps to produce Top-of-Atmosphere (TOA) and Top-of-Canopy (TOC) reflectance from multi-spectral image sets. Most remote sensing software provides algorithms or processing schemes dedicated to those corrections of the Landsat-8 OLI sensors. Furthermore, Google Earth Engine (GEE), provides direct access to Landsat reflectance products, USGS-based ARD (USGS-ARD), on the cloud environment. We implemented the Orfeo ToolBox (OTB) atmospheric correction extension, an open-source remote sensing software for manipulating and analyzing high-resolution satellite images. This is the first tool because OTB has not provided calibration modules for any Landsat sensors. Using this extension software, we conducted the absolute atmospheric correction on the Landsat-8 OLI images of Railroad Valley, United States (RVUS) to validate their reflectance products using reflectance data sets of RVUS in the RadCalNet portal. The results showed that the reflectance products using the OTB extension for Landsat revealed a difference by less than 5% compared to RadCalNet RVUS data. In addition, we performed a comparative analysis with reflectance products obtained from other open-source tools such as a QGIS semi-automatic classification plugin and SAGA, besides USGS-ARD products. The reflectance products by the OTB extension showed a high consistency to those of USGS-ARD within the acceptable level in the measurement data range of the RadCalNet RVUS, compared to those of the other two open-source tools. In this study, the verification of the atmospheric calibration processor in OTB extension was carried out, and it proved the application possibility for other satellite sensors in the Compact Advanced Satellite (CAS)-500 or new optical satellites.

• 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.

• Journal of the Korean Society for information Management
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• v.31 no.3
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• pp.29-63
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• 2014

This study attempted to reveal the characteristics of the Y generation, to derive the services of the next generation digital library, and to compare differences between the demands of the baby boom generation and the Y generation to some extent. As a result, first, it is shown that the digital device the Y generation uses the most, was a cell phone or smartphone, followed by desktop PC, notebook PC, and digital camera. Although there were some differences, the Y generation's use ratio of digital devices was substantially similar to the baby boomers'. Second, there was a significant difference between the Y generation and baby boom generation in terms of using digital services. While the Y generation used internet portals the most, the baby boom generation used e-mail service the most. Third, we surveyed the services which the Y generation and baby boom generation require for the next generation digital libraries, by grouping as follows: the cloud service, infinite creative space (maker space), big data, augmented reality, Google Glass, context-aware technologies, semantic services, SNS service, digital textbook service, RFID and QRCode service, library space configuration, a state-of-the-art display technology, and other innovative services. While the most demanded service by the Y generation was big data service, the baby boom generation most demanded digital textbook service.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.1
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• pp.62-77
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• 2019

Open Data Cube(ODC) has been emerging and developing as the open source platform in the Committee on Earth Observation Satellites(CEOS) for the Global Earth Observation System of Systems(GEOSS) deployed by the Group on Earth Observations (GEO), ODC can be applied to the deployment of scalable and large amounts of free and open satellite images in a cloud computing environment, and ODC-based country or regional application services have been provided for public users on the high performance. This study first summarizes the status of ODC, and then presents concepts and some considering points for linking this platform with Korea Multi-Purpose Satellite (KOMPSAT) images. For the reference, the main contents of ODC with the Google Earth Engine(GEE) were compared. Application procedures of KOMPSAT satellite image to implement ODC service were explained, and an intermediate process related to data ingestion using actual data was demonstrated. As well, it suggested some practical schemes to utilize KOMPSAT satellite images for the ODC application service from the perspective of open data licensing. Policy and technical products for KOMPSAT images to ODC are expected to provide important references for GEOSS in GEO to apply new satellite images of other countries and organizations in the future.