• Journal of Platform Technology
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• v.11 no.1
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• pp.11-22
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• 2023

Various video conferencing and collaboration applications have emerged due to the global epidemic of new viral infections. In addition to real-time video conferencing, video conferencing applications provide features such as chat and file sharing on various platforms. Because various personal information is stored through functions such as chatting, file and screen sharing, these video conferencing applications are the major target of analysis from a digital forensic investigation. In the case of applications that provide cross-platform, the form of stored data is different depending on the platform. Therefore, to utilize data of video conferencing application for forensic investigation, preliminary research on artifacts stored by platform is required. In this paper, we used the video conferencing applications GoToWebinar and GoToMeeting and analyzed the artifacts generated. As a result, we list the main data from a digital forensic investigation. We identify data stored for each platform provided by GoToWebinar and GoToMeeting and organize artifacts that can estimate user behavior. Also, we classify the data that can be acquired according to the role and environment within the video conference.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.145-154
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• 2022

With the real museum changing from a center of viewing to a center of experience and communication, virtual museums have become independent as well as auxiliary and alternative roles for real museums. Therefore, it is necessary to review the concept and meaning of virtual museums and analyze the attributes of each exhibition type. This paper categorizes the exhibition types of virtual museums into four categories and analyzes the interaction methods of each exhibition type. The essential characteristics of interaction subjects affect all four types, but the method of virtual expression is distinguished, and the exhibition type that actively utilizes the virtuality of exhibition space and work expands the user's experience and communication. In this study, various forms and methods of construction of virtual museums can be explored by providing characteristics and considerations for each type of exhibition during the planning and construction of virtual museums.

• Design Convergence Study
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• v.15 no.2
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• pp.237-250
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• 2016

Along with rapid development, progress of the network technology and digital information technology, human are stepping into the intelligent society of internet. Thereby the quality of living environment and working environment are keep improving. Under the big background of internet era, the timeliness and convenience of smart home system has been improved greatly. While lots of smart products have gradually penetrated into people's daily life. The household appliances are among most popular ones. This paper is intended to compare smart features of household living products among most representative brands in China, Japan and South Korea. The smart features include self-learning, self-adapting, self-coordinating, self-diagnosing, self-inferring, self-organizing, and self adjusting. As result, most smart features of these products showed great similarity. While some features were dominated according to countries such as remote control feature in Korea, energy saving feature in Japan, and one button operation feature in China.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.480-480
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• 2021

본 연구에서는 도시재생지역의 재난재해 위험성 및 회복성 분석과 현황 분석을 위한 기초 데이터의 관리와 활용성 증대를 목적으로 데이터를 등록하고 다운로드 할 수 있는 공유 플랫폼을 개발하고자 하였다. 도시재생 데이터 플랫폼은 재난재해, 지역현황, 문서 항목으로 구분하여 도시재생 정보를 서비스한다. 재난재해 항목은 폭우, 폭설, 폭염, 강풍, 지진 5개 자연재해 유형과 이로 인해 추가 피해가 발생할 수 있는 화재, 붕괴, 폭발 사회재난 3개 유형으로 구성되어있으며, 총8 종류의 재난재해 유형에 대한 위험성과 회복성 분석 DB를 제공한다. 지역현황 정보에서는 유휴공간 및 지역자산정보 등 도시재생 현황분석에 필요한 행정(통계)데이터, 시설물정보 등을 제공한다. 아울러 본 연구를 통해 산출되는 논문 및 보고서 등을 문서 항목에서 서비스한다. 데이터셋 등록 시, 시스템에 설정된 재난재해 유형, 시설물 등을 선택해 카테고리를 분류하고, 이력관리를 목적으로 데이터명과 생산년월 등에 대한 필수항목을 입력해야만 등록이 가능하도록 설정하였다. 또한 GIS 기반 공간자료 등록 시에는 가시화 서비스를 위하여 공간자료의 포맷과 좌표체계, 생산년월, 생산기관 등을 필수 입력하도록 하였으며, GIS tool을 활용한 자료 분석에 어려움이 없도록 하였다. 쇠퇴지역의 재난재해 대비/대응을 위한 도시재생 데이터 플랫폼은 금년 시범운영 후, 차년에는 클라우드 서비스 기능을 탑재해 계정 권한과 장소에 제약을 받지 않고 도시재생 업무를 수행하는 모든 사용자가 재난재해 정보를 비롯한 도시재생 관련 정보를 수집·활용할 수 있는 데이터 공유의 장을 구현함으로써 도시재생지역의 효과적인 재난재해 대비/대응 체계를 마련하고자 하였다.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.1089-1095
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• 2023

Windows are essential and important architectural elements for the organization of architectural spaces, and they give character to the space and have a great impact on the reaction of users. Virtual windows are installed to activate architectural spaces such as underground spaces where windows cannot be installed, and to provide a sense of psychological security to users in hospital clinics, etc. In this study, we reviewed the literature and collected and analyzed the precedents of virtual windows to discuss the factors necessary to improve the realism of virtual windows. The factors that affect the realism of virtual windows are further grouped into five categories: 1. Use of reproduced images or videos for views, 2. Representation of temporality, 3. Responsiveness to changes in the observer's perspective, 4. Realistic reproduction of sunlight, and 5. Provision of non-visual sensory elements. Virtual windows are not just a replacement for traditional windows, but a way to realize a virtual environment using digital media, and it is necessary to expand the discussion to the realization of the virtual environment and the relationship with architectural elements.

• Convergence Security Journal
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• v.23 no.5
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• pp.65-72
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• 2023

This paper proposes a method for detecting malicious domains considering human habitual characteristics by building a Deep Learning model based on LSTM (Long Short-Term Memory). DGA (Domain Generation Algorithm) malicious domains exploit human habitual errors, resulting in severe security threats. The objective is to swiftly and accurately respond to changes in malicious domains and their evasion techniques through typosquatting to minimize security threats. The LSTM-based Deep Learning model automatically analyzes and categorizes generated domains as malicious or benign based on malware-specific features. As a result of evaluating the model's performance based on ROC curve and AUC accuracy, it demonstrated 99.21% superior detection accuracy. Not only can this model detect malicious domains in real-time, but it also holds potential applications across various cyber security domains. This paper proposes and explores a novel approach aimed at safeguarding users and fostering a secure cyber environment against cyber attacks.

• Information Systems Review
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• v.22 no.1
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• pp.167-182
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• 2020

Ambidexterity in organizations, in general, is interpreted as flexibility that enables organizational innovation, which is important for survival in a competitive market. It applies to individual workers as well since the ambidexterity of explorational and exploitational IS use will enable the flexible transition between dynamic and operational work, and hence, increase the work performance. The current study will therefore investigate the individual levels of exploratory and exploitative IS use, as well as the complementary relationship between exploratory and exploitative IS use. In a third step, the differential influence of IS on work performance will be evaluated. The current study validated that complementary fit of IS use exploration and IS use exploitation increases performance. Polynomial regression and surface analysis are used to validate the incongruence of IS use pattern. They showed that the incongruence of ambidexterity is composed of two types of divergent vs. convergent ambidexterity which depends on the type of work that need dynamic or operational capability.

• Convergence Security Journal
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• v.24 no.2
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• pp.19-29
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• 2024

A crypto-jacking attack is an attack that infringes on the availability of users by stealing computing resources required for cryptocurrency mining. The target of the attack is gradually diversifying from general desktop or server environments to cloud environments. Therefore, it is essential to apply a crypto-minor detection technique suitable for various computing environments. However, since the existing detection methodologies have only been detected in a specific environment, comparative analysis has not been properly performed on the methodologies that can be applied to each environment. Therefore, in this study, classification criteria for conventional crypto-minor detection techniques are established, and a complex and integrated detection framework applicable to the cloud environment is presented through in-depth comparative analysis of existing crypto-minor detection techniques based on different experimental environments and datasets.

• Smart Media Journal
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• v.12 no.11
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• pp.198-210
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• 2023

After COVID-19, team's collaborations are conducted online using whiteboard tools as remote working increases. In order to understand the problems of the convergence process using online whiteboard tools, an observation study comparing online and offline collaboration and a focus group interview were conducted. In addition, a questionnaire was conducted to confirm the found problem, and a solution idea was proposed. through in-depth interviews, we validate the proposed ideas. The convergence process of collaboration using online whiteboard tools had problems ; "excessive amount of information", "shift of view", "role of facilitator". To solve the problems, we proposed the idea of classifying each stage of the collaboration process, providing a navigator, and facilitator request system window. This paper proposed an idea that can effectively help the convergence process directly related to decision-making during the online collaboration process through analysis of advantages and problems of online and offline collaboration.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.117-125
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• 2024

In this paper, implement and propose an Active Electronically Scanned Array (AESA) radar integration analysis system which specialized for radar development by using heterogeneous media. Most analysis systems are used to analyze and improve the cause of defects, so they help the test easier. However, previous log analysis systems that operate only based on text are not intuitive and difficult to find the information user want at once if there is a lot of log information. so when an equipment defect occurs, there are limitations in analyzing the cause of defect. Therefore, the analysis system in this paper utilizes heterogeneous media. The media defined in this paper refers to recording text-based data, displaying data as image or video and visualizing data. The proposed analysis system classifies and stores data that transmitted and received between radar devices, radar target detection and Tracking algorithm data, etc. also displays and visualizes radar operation results and equipment defect information in real time. With this analysis system, it can quickly provide information what user want and assistance in developing high quality radar.