• Title/Summary/Keyword: Platforms

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A Study on Establishing the Strategies for Integrated Management and Utilization of Disaster & Safety Research Data (재난안전연구데이터 통합관리·활용을 위한 전략 수립 연구)

  • Ryu, Shin-Hye;Yoon, Heewon;Kim, Daewuk;Choi, Seon-Hwa
    • Korean Journal of Remote Sensing
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    • v.38 no.6_3
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    • pp.1789-1803
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    • 2022
  • With the increase of data and the development of AI technology, the strategies and policies related to integrated data are being actively established to increase the usability of data all over the world. Recently, in the research field, infrastructure projects and management systems are being prepared to utilize research data at the initiative of the government. Also, in Korea, platforms for searching and sharing research data are being actively developed. The National Disaster Management Research Institute (NDMI) has been conducting extensive research on disaster & safety as a national institute, but data-oriented management and utilization are insufficient. Because it still lacks consistent data management systems, metadata for outcomes of research, experts on data and policies for utilization of data to research. In order to move to the data-based research paradigm, we defined the master plans and verified a target model for the integrated management and utilization of disaster & safety research data. In this study, we found out the need to establish differentiated data governance, such as data standardization and unification of the data management system, and dedicated organization for managing data, based on the necessity and actual demands of NDMI. In order to verify the effectiveness of the target model reflecting the derived implications, we intend to establish a pilot mode. In the future, major improvement measures to establish a disaster & safety research data management system will be implement.

Research of Water-related Disaster Monitoring Using Satellite Bigdata Based on Google Earth Engine Cloud Computing Platform (구글어스엔진 클라우드 컴퓨팅 플랫폼 기반 위성 빅데이터를 활용한 수재해 모니터링 연구)

  • Park, Jongsoo;Kang, Ki-mook
    • Korean Journal of Remote Sensing
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    • v.38 no.6_3
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    • pp.1761-1775
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    • 2022
  • Due to unpredictable climate change, the frequency of occurrence of water-related disasters and the scale of damage are also continuously increasing. In terms of disaster management, it is essential to identify the damaged area in a wide area and monitor for mid-term and long-term forecasting. In the field of water disasters, research on remote sensing technology using Synthetic Aperture Radar (SAR) satellite images for wide-area monitoring is being actively conducted. Time-series analysis for monitoring requires a complex preprocessing process that collects a large amount of images and considers the noisy radar characteristics, and for this, a considerable amount of time is required. With the recent development of cloud computing technology, many platforms capable of performing spatiotemporal analysis using satellite big data have been proposed. Google Earth Engine (GEE)is a representative platform that provides about 600 satellite data for free and enables semi real time space time analysis based on the analysis preparation data of satellite images. Therefore, in this study, immediate water disaster damage detection and mid to long term time series observation studies were conducted using GEE. Through the Otsu technique, which is mainly used for change detection, changes in river width and flood area due to river flooding were confirmed, centered on the torrential rains that occurred in 2020. In addition, in terms of disaster management, the change trend of the time series waterbody from 2018 to 2022 was confirmed. The short processing time through javascript based coding, and the strength of spatiotemporal analysis and result expression, are expected to enable use in the field of water disasters. In addition, it is expected that the field of application will be expanded through connection with various satellite bigdata in the future.

Policies and Measures for Managing Personal Digital Legacy (개인의 사후 디지털 기록관리를 위한 정책과 방안)

  • Kim, Jinhong;Rieh, Hae-young
    • The Korean Journal of Archival Studies
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    • no.72
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    • pp.165-203
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    • 2022
  • Many people create records in digital space, and the amount of digital records left after individual dies has increased. The digital record left by the deceased is different from the record heritage that has physical substances. In many cases, the records of the deceased not just belong to the deceased, and many deceased did not explicitly disclose their online accounts and method of dispose of digital records during their lifetime, so this problem may lead to problems of inheritance to the bereaved family. In addition, digital records may be neglected or deleted after a person's death due to software problems, specific platform's terms of use, account deletion by bereaved family, etc. This leads to the problem that daily records, which are important clues to the social aspects at the time, are easily lost. Several studies have revealed that individuals are interested in preserving their digital records, but do not know how to do it, so they are benign neglect. For this reason, it is necessary to pay attention to personal digital records and personal digital legacy, and to prepare related policies and plans. Accordingly, this study analyzes problems related to the management of digital records after an individual's death, related to laws and systems, the status and policies of platforms and industries, the status of personal record management, etc. Various solutions were suggested, such as a need for enactment for digital personal record management act, platform's explicit policy for individual's post-mortem records, digital records management plan for archival institutions, individual's a preemptive management plan for his/her own records, and a method for writing a will related to digital account information.

A Conceptual Study on Blockchain Technology-based STO Platform Creation for Ship Finance (블록체인 기술을 활용한 선박금융 STO 플랫폼 구축에 대한 연구)

  • Ahn, Soon-Goo;Yun, Hee-Sung
    • Journal of Korea Port Economic Association
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    • v.38 no.1
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    • pp.31-47
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    • 2022
  • While the ship finance industry has long been struggling with diminishing involvements from the private sector, government-run banks have consistently increased their presence in maritime finance. To address such concerns, this research conceptually explores the creation of blockchain technology-driven security token offering (STO) platforms. To suggest a sound platform model, this piece first examines key design principles. Based on the integral perspective on the digital platform, this paper exhibits three core design principles to create a virtuous platform ecosystem, then sets out STO platform design guidelines. This paper further explores an STO platform model by considering conventional ship finance systems and practices in Korea. The STO platform has three main effects; 1) the wider availability of STOs can enlarge both the scope and size of ship finance users, 2) the activation of security token transactions leads to an increase in participation, and 3) possibilities to create complementary innovative financial services can further encourage the participation of private investors. The STO ecosystem may contribute to the shipping, shipbuilding, and ship finance industries by enhancing its attractiveness to the general public and by creating positive externalities for Busan as a maritime finance center.

A Study on the Influence Factors on Intention to Continuous Use of Untact Performance Service in Concert Hall (공연장의 언택트 공연서비스의 지속사용의도에 미치는 영향요인 연구)

  • Bang, Sung-Teak;Baek, Jin-Hyoun;Moon, Jae-Young
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.283-291
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    • 2022
  • Due to the impact of COVID-19, untact performances where performance videos are recorded, edited and distributed have begun to be activated in a non-face-to-face environment. Performance halls are supporting untact performance services such as video production and broadcasting so that performances can be viewed through online platforms. Therefore, this study intends to study the satisfaction and continued use intention of the untact performance service in the concert hall for experts who have experience using the untact performance service in the concert hall. A total of 9 hypotheses were rejected and 10 hypotheses were adopted as a result of developing and analyzing a research model suitable for the untact performance service of the concert hall by fusion of the information system success model and the expectation inconsistency model. Excluding content quality, it was found that in both system quality and service quality, inconsistency occurs through the comparison of expectations and performance after expectations arise. This positive discrepancy affects satisfaction, and the higher the satisfaction, the higher the intention to continue using it. This study is a basic study on the untact performance service and is expected to provide a new perspective for quality improvement.

A study on the creation of mission performance data using search drone images (수색용 드론 이미지를 활용한 임무수행 데이터 생성에 관한 연구)

  • Lee, Sang-Beom;Lim, Jin-Taek
    • Journal of the Institute of Convergence Signal Processing
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    • v.22 no.4
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    • pp.179-184
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    • 2021
  • Along with the development of the fourth industry, the public sector has increasingly paid more attention to search using drones and real-time monitoring, for various goals. The drones are used and researched to complete a variety of searching and monitoring missions, including search for missing persons, security, coastal patrol and monitoring, speed enforcement, highway and urban traffic monitoring, fire and wildfire monitoring, monitoring of illegal fishing in reservoirs and protest rally monitoring. Police stations, fire departments and military authorities, however, concentrate on the hardware part, so there are little research on efficient communication systems for the real-time monitoring of data collected from high-performance resolution and infrared thermal imagining cameras, and analysis programs suitable for special missions. In order to increase the efficiency of drones with the searching mission, this paper, therefore, attempts to propose an image analysis technique to increase the precision of search by producing image data suitable for searching missions, based on images obtained from drones and provide the foundation for improving relevant policies and establishing proper platforms, based on actual field cases and experiments.

Entomopathogenic Fungi-mediated Pest Management and R&D Strategy (곤충병원성 진균을 활용한 해충 관리와 개발 전략)

  • Lee, Se Jin;Shin, Tae Young;Kim, Jong-Cheol;Kim, Jae Su
    • Korean journal of applied entomology
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    • v.61 no.1
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    • pp.197-210
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    • 2022
  • Entomopathogenic fungi can be used to control a variety of sucking and chewing insects, with little effect on beneficial insects and natural enemies. Approximately 170 entomopathogenic fungal insecticides have been registered and used worldwide, with the recent focus being on the mode of action and mechanism of insect-fungal interactions. During the initial period of research and development, the industrialization of entomopathogenic fungi focused on the selection of strains with high virulence. However, improvement in productivity, including securing resistance to environmental stressors, is a major issue that needs to be solved. Although conidia are the primary application propagules, efforts are being made to overcome the limitations of blastospores to improve the economic feasibility of the production procedure. Fungal transformation is also being conducted to enhance insecticidal activity, and molecular biology is being used to investigate functions of various genes. In the fungi-based pest management market, global companies are setting up cooperative platforms with specialized biological companies in the form of M&As or partnerships with the aim of implementing a tank-mix strategy by combining chemical pesticides and entomopathogenic fungi. In this regard, understanding insect ecology in the field helps in providing more effective fungal applications in pest management, which can be used complementary to chemicals. In the future, when fungal applications are combined with digital farming technology, above-ground applications to control leaf-dwelling pests will be more effective. Therefore, for practical industrialization, it is necessary to secure clear research data on intellectual property rights.

A Study on the Metaverse Experience Economy Factors and Advertisement Acceptance Intention (메타버스 체험경제 요인과 광고 수용의도에 관한 연구)

  • Lee, Sangho;Kim, Taegyu;Cho, Kwangmoon
    • Journal of Internet of Things and Convergence
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    • v.8 no.5
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    • pp.99-109
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    • 2022
  • The purpose of this study is to verify the effect of experiential economy factors using metaverse on the intention to accept advertisements reflecting new technologies. The subjects of this study were those located in G Metropolitan City and J Province, and those who experienced metaverse. From August 1 to September 10, 2022, 150 people participated in the survey without face-to-face. Analysis methods were frequency analysis, factor analysis, reliability analysis, correlation analysis, multiple regression analysis, and three-step mediated regression analysis. The conclusion is as follows. First, the influence of metaverse experience on advertisement acceptance intention was shown in the order of relational experience, educational experience, and escapist experience. Second, it was found that the relational and educational experiences of metaverse partially mediate metaverse usefulness and affect the advertisement acceptance intention. Third, it was found that the relational and educational experiences of the metaverse partially mediate the metaverse presence and affect the advertisement acceptance intention. Also, it was found that the metaverse's escapist experience completely mediates the metaverse's presence and affects the advertisement acceptance intention. Fourth, it was found that the escapist experience of metaverse completely mediates the ease of use of metaverse and affects the advertisement acceptance intention. It is expected that this study will contribute to the construction of a new platform in the advertising market using various platforms of metaverse.

A Study on the remote acuisition of HejHome Air Cloud artifacts (스마트 홈 헤이 홈 Air의 클라우드 아티팩트 원격 수집 방안 연구)

  • Kim, Ju-eun;Seo, Seung-hee;Cha, Hae-seong;Kim, Yeok;Lee, Chang-hoon
    • Journal of Internet Computing and Services
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    • v.23 no.5
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    • pp.69-78
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    • 2022
  • As the use of Internet of Things (IoT) devices has expanded, digital forensics coverage of the National Police Agency has expanded to smart home areas. Accordingly, most of the existing studies conducted to acquire smart home platform data were mainly conducted to analyze local data of mobile devices and analyze network perspectives. However, meaningful data for evidence analysis is mainly stored on cloud storage on smart home platforms. Therefore, in this paper, we study how to acquire stored in the cloud in a Hey Home Air environment by extracting accessToken of user accounts through a cookie database of browsers such as Microsoft Edge, Google Chrome, Mozilia Firefox, and Opera, which are recorded on a PC when users use the Hey Home app-based "Hey Home Square" service. In this paper, the it was configured with smart temperature and humidity sensors, smart door sensors, and smart motion sensors, and artifacts such as temperature and humidity data by date and place, device list used, and motion detection records were collected. Information such as temperature and humidity at the time of the incident can be seen from the results of the artifact analysis and can be used in the forensic investigation process. In addition, the cloud data acquisition method using OpenAPI proposed in this paper excludes the possibility of modulation during the data collection process and uses the API method, so it follows the principle of integrity and reproducibility, which are the principles of digital forensics.

Construction of an Audio Steganography Botnet Based on Telegram Messenger (텔레그램 메신저 기반의 오디오 스테가노그래피 봇넷 구축)

  • Jeon, Jin;Cho, Youngho
    • Journal of Internet Computing and Services
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    • v.23 no.5
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    • pp.127-134
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    • 2022
  • Steganography is a hidden technique in which secret messages are hidden in various multimedia files, and it is widely exploited for cyber crime and attacks because it is very difficult for third parties other than senders and receivers to identify the presence of hidden information in communication messages. Botnet typically consists of botmasters, bots, and C&C (Command & Control) servers, and is a botmasters-controlled network with various structures such as centralized, distributed (P2P), and hybrid. Recently, in order to enhance the concealment of botnets, research on Stego Botnet, which uses SNS platforms instead of C&C servers and performs C&C communication by applying steganography techniques, has been actively conducted, but image or video media-oriented stego botnet techniques have been studied. On the other hand, audio files such as various sound sources and recording files are also actively shared on SNS, so research on stego botnet based on audio steganography is needed. Therefore, in this study, we present the results of comparative analysis on hidden capacity by file type and tool through experiments, using a stego botnet that performs C&C hidden communication using audio files as a cover medium in Telegram Messenger.